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# bst_mriviewer

## (Toolbox/bst_mriviewer.m in BrainStorm 2.0 (Alpha))

### Function Synopsis

    varargout = bst_mriviewer(varargin)

### Help Text

    BST_MRIVIEWER - Application M-file for bst_mriviewer.fig
     function varargout = bst_mriviewer(varargin)
        FIG = BST_MRIVIEWER launch bst_mriviewer GUI.
        BST_MRIVIEWER('callback_name', ...) invoke the named callback.

### Cross-Reference Information

This function calls

    avw2brainstorm                     C:\BrainStorm_2001\Toolbox\avw2brainstorm.m
    avw_img_read                       C:\BrainStorm_2001\PublicToolbox\MRI_toolbox_v2p0\avw_img_read.m
    bst_color_scheme                   C:\BrainStorm_2001\Toolbox\bst_color_scheme.m
    bst_layout                         C:\BrainStorm_2001\Toolbox\bst_layout.m
    bst_message_window                 C:\BrainStorm_2001\Toolbox\bst_message_window.m
    bst_wavedata_display               C:\BrainStorm_2001\Toolbox\bst_wavedata_display.m
    file_selection_win                 C:\BrainStorm_2001\Toolbox\file_selection_win.m
    get_user_directory                 C:\BrainStorm_2001\Toolbox\get_user_directory.m
    good_channel                       C:\BrainStorm_2001\Toolbox\good_channel.m
    load_BsTMRI                        C:\BrainStorm_2001\Toolbox\load_BsTMRI.m
    makeuswait                         C:\BrainStorm_2001\Toolbox\makeuswait.m
    modulo                             C:\BrainStorm_2001\Toolbox\modulo.m
    mri2scs                            C:\BrainStorm_2001\Toolbox\mri2scs.m
    mri_parameters                     C:\BrainStorm_2001\Toolbox\mri_parameters.m
    nowzooming                         C:\BrainStorm_2001\Toolbox\nowzooming.m
    pcs_params                         C:\BrainStorm_2001\Toolbox\pcs_params.m
    read_ctf_mri                       C:\BrainStorm_2001\Toolbox\read_ctf_mri.m
    save_fieldnames                    C:\BrainStorm_2001\Toolbox\save_fieldnames.m
    scs2mri                            C:\BrainStorm_2001\Toolbox\scs2mri.m

This function is called by

    bst_static_taskbar                 C:\BrainStorm_2001\Toolbox\bst_static_taskbar.m
    dataplot_cb                        C:\BrainStorm_2001\Toolbox\dataplot_cb.m
    mri_parameters                     C:\BrainStorm_2001\Toolbox\mri_parameters.m
    pcs_params                         C:\BrainStorm_2001\Toolbox\pcs_params.m
    rapmusic_gui                       C:\BrainStorm_2001\Toolbox\rapmusic_gui.m
    subject_editor                     C:\BrainStorm_2001\Toolbox\subject_editor.m

### Listing of function C:\BrainStorm_2001\Toolbox\bst_mriviewer.m

    function varargout = bst_mriviewer(varargin)
    %BST_MRIVIEWER - Application M-file for bst_mriviewer.fig
    % function varargout = bst_mriviewer(varargin)
    %    FIG = BST_MRIVIEWER launch bst_mriviewer GUI.
    %    BST_MRIVIEWER('callback_name', ...) invoke the named callback.

    %<autobegin> ---------------------- 23-Sep-2004 10:29:59 -----------------------
    % --------- Automatically Generated Comments Block Using AUTO_COMMENTS ---------
    %
    % CATEGORY: Visualization
    %
    % Alphabetical list of external functions (non-Matlab):
    %   publictoolbox\mri_toolbox_v2p0\avw_img_read.m
    %   toolbox\avw2brainstorm.m
    %   toolbox\bst_color_scheme.m
    %   toolbox\bst_layout.m
    %   toolbox\bst_message_window.m
    %   toolbox\bst_mriviewer.m  NOTE: Routine calls itself explicitly
    %   toolbox\bst_wavedata_display.m
    %   toolbox\file_selection_win.m
    %   toolbox\get_user_directory.m
    %   toolbox\good_channel.m
    %   toolbox\load_bstmri.m
    %   toolbox\makeuswait.m
    %   toolbox\modulo.m
    %   toolbox\mri2scs.m
    %   toolbox\mri_parameters.m
    %   toolbox\pcs_params.m
    %   toolbox\read_ctf_mri.m
    %   toolbox\save_fieldnames.m
    %   toolbox\scs2mri.m
    %
    % Subfunctions in this file, in order of occurrence in file:
    %   [] = clearAll(fig);
    %   varargout = slider_Callback(h, eventdata, handles, varargin)
    %   XYZ = wherearewe(handles)
    %   varargout = LoadBrainStorm_Callback(h, eventdata, handles, varargin)
    %   varargout = ctfmri_Callback(h, eventdata, handles, varargin)
    %   varargout = fifmri_Callback(h, eventdata, handles, varargin)
    %   varargout = importANALYZE_Callback(h, eventdata, handles, varargin)
    %   varargout = gismri_Callback(h, eventdata, handles, varargin)
    %   varargout = dicommri_Callback(h, eventdata, handles, varargin)
    %   varargout = rawmri_Callback(h, eventdata, handles, varargin)
    %   varargout = rawmri_done
    %   varargout = VolumeParameters_Callback(h, eventdata, handles, varargin)
    %   varargout = SaveAsBrainStorm_Callback(h, eventdata, handles, varargin)
    %   varargout = DefineSCS_Callback(h, eventdata, handles, varargin)
    %   varargout = DefineSCSdone_Callback(h, eventdata, handles, varargin)
    %   varargout = ShowFiducials_Callback(h, eventdata, handles, varargin)
    %   [] = isvisible(MRI,hObjects)
    %   varargout = LoadSourceMap_Callback(h, eventdata, handles, varargin)
    %   varargout = SaveScouts_Callback(h, eventdata, handles, varargin)
    %   varargout = LoadScouts_Callback(h, eventdata, handles, varargin)
    %   varargout = cortic_remap_Callback(h, eventdata, handles, varargin)
    %   varargout = ImportSPM_Callback(h, eventdata, handles, varargin)
    %   varargout = Talairach_Callback(h, eventdata, handles, varargin)
    %   varargout = TalairachTransform_Callback(h, eventdata, handles, varargin)
    %   varargout = DefineScouts_Callback(h, eventdata, handles, varargin)
    %   varargout = DefineCorticalScouts_Callback(h, eventdata, handles, varargin)
    %   varargout = Quit_Callback(h, eventdata, handles, varargin)
    %   [ObjectHandles] = plot_MRI(MRI,pointsCoord,varargin);
    %   [MRI] = show_MRI(MRI, varargin);
    %   [] = reset_axis(H)
    %   MRI = FlipUpDown
    %   MRI = FlipLeftRight
    %   MRI = Transpose
    %   mriCoord = vox2mm(MRI,sliceIndices);
    %   sliceIndices = mm2vox(MRI,mriCoord);
    %   varargout = LockCursor_Callback(h, eventdata, handles, varargin)
    %   [] = stopmoving
    %   [] = move2cursor
    %   varargout = AddCrosshair_Callback(h, eventdata, handles, varargin)
    %   varargout = Zoom_Callback(h, eventdata, handles, varargin)
    %   varargout = PointList_Callback(h, eventdata, handles, varargin)
    %   varargout = SelectPoint_Callback(h, eventdata, handles, varargin)
    %   varargout = DeletePoint_Callback(h, eventdata, handles, varargin)
    %   varargout = RenamePoint_Callback(h, eventdata, handles, varargin)
    %   varargout = SeeAllPoints_Callback(h, eventdata, handles, varargin)
    %   varargout = HideAllPoints_Callback(h, eventdata, handles, varargin)
    %   varargout = Brighten_Callback(h, eventdata, handles, varargin)
    %   varargout = Darken_Callback(h, eventdata, handles, varargin)
    %   varargout = LittleEndian_Callback(h, eventdata, handles, varargin)
    %
    % Application data and their calls in this file:
    %   'MRI'
    %   'TileType'
    %   'mriResults'
    %   'tag'
    %
    %   setappdata(MRIViewer,'MRI',MRI);
    %   setappdata(MRIfig,'MRI',MRI);
    %   setappdata(fig,'MRI',MRI);
    %   setappdata(fig,'TileType','T')
    %   setappdata(findobj(0,'tag','MRIViewer','type','figure'),'MRI',MRI)
    %   setappdata(gcbf,'MRI',MRI)
    %   setappdata(gcbf,'MRI',MRI);
    %   setappdata(handles.MRIViewer,'MRI',MRI)
    %   setappdata(handles.MRIViewer,'MRI',MRI);
    %   setappdata(mriFig,'MRI',MRI)
    %   setappdata(mriFig,'mriResults',mriResults)
    %   setappdata(timeseriesFig,'TileType','T');
    %   setappdata(topoFig,'TileType','T');
    %
    %   MRI = getappdata(MRIfig,'MRI');
    %   MRI = getappdata(fig,'MRI');
    %   MRI = getappdata(gcbf,'MRI');
    %   MRI = getappdata(handles.MRIViewer,'MRI');
    %   MRI = getappdata(mriFig,'MRI');
    %   MRI.SCS2Landmarks = getappdata(findobj(0,'Tag','pcsparams'),'LookUpFiducials');
    %   allData = getappdata(fig);
    %   mriResults = getappdata(mriFig,'mriResults');
    %   tmpMRI = getappdata(handles.MRIViewer,'tmpMRI');
    %
    % Figure Files opened by this function:
    %   mfilename
    %
    %   Format of strings below: Type:Style:Tag, "String", CallBack Type and Call
    %   <automatic> callback is <Tag>_Callback by Matlab default
    %
    % Callbacks by figure bst_mriviewer.fig
    %   figure::MRIViewer "" uses DeleteFcn for bst_mriviewer('Quit_Callback',gcbo,[],guidata(gcbo))
    %   uicontrol:listbox:PointList "" uses Callback for <automatic>
    %   uicontrol:pushbutton:Brighten "Brighten" uses Callback for <automatic>
    %   uicontrol:pushbutton:Darken "Darken" uses Callback for <automatic>
    %   uicontrol:pushbutton:DeletePoint "Delete" uses Callback for <automatic>
    %   uicontrol:pushbutton:Quit "Quit" uses Callback for <automatic>
    %   uicontrol:pushbutton:RenamePoint "Rename" uses Callback for <automatic>
    %   uicontrol:pushbutton:SelectPoint "Select" uses Callback for <automatic>
    %   uicontrol:slider:slider_x "" uses Callback for
    %     bst_mriviewer('slider_Callback',gcbo,[],guidata(gcbo))
    %   uicontrol:slider:slider_y "" uses Callback for
    %     bst_mriviewer('slider_Callback',gcbo,[],guidata(gcbo))
    %   uicontrol:slider:slider_z "" uses Callback for
    %     bst_mriviewer('slider_Callback',gcbo,[],guidata(gcbo))
    %   uimenu::AddCrosshair "" uses Callback for <automatic>
    %   uimenu::cortic_remap "" uses Callback for <automatic>
    %   uimenu::ctfmri "" uses Callback for <automatic>
    %   uimenu::DefineCorticalScouts "" uses Callback for <automatic>
    %   uimenu::DefineSCS "" uses Callback for <automatic>
    %   uimenu::dicommri "" uses Callback for <automatic>
    %   uimenu::fifmri "" uses Callback for <automatic>
    %   uimenu::gismri "" uses Callback for <automatic>
    %   uimenu::HideAllPoints "" uses Callback for <automatic>
    %   uimenu::importANALYZE "" uses Callback for <automatic>
    %   uimenu::ImportSPM "" uses Callback for <automatic>
    %   uimenu::LittleEndian "" uses Callback for
    %     bst_mriviewer('LIttleEndian_Callback',gcbo,[],guidata(gcbo))
    %   uimenu::LoadBrainStorm "" uses Callback for <automatic>
    %   uimenu::LoadScouts "" uses Callback for <automatic>
    %   uimenu::LoadSourceMap "" uses Callback for <automatic>
    %   uimenu::LockCursor "" uses Callback for <automatic>
    %   uimenu::rawmri "" uses Callback for <automatic>
    %   uimenu::SaveAsBrainStorm "" uses Callback for <automatic>
    %   uimenu::SaveScouts "" uses Callback for <automatic>
    %   uimenu::SeeAllPoints "" uses Callback for <automatic>
    %   uimenu::ShowFiducials "" uses Callback for <automatic>
    %   uimenu::TalairachTransform "" uses Callback for <automatic>
    %   uimenu::Untitled_1 "" uses Callback for colormapeditor
    %   uimenu::VolumeParameters "" uses Callback for <automatic>
    %   uimenu::Zoom "" uses Callback for <automatic>
    %
    % At Check-in: $Author: Mosher $  $Revision: 61 $  $Date: 9/23/04 8:58a $
    %
    % This software is part of BrainStorm Toolbox Version 2.0 (Alpha) 23-Sep-2004
    %
    % Principal Investigators and Developers:
    % ** Richard M. Leahy, PhD, Signal & Image Processing Institute,
    %    University of Southern California, Los Angeles, CA
    % ** John C. Mosher, PhD, Biophysics Group,
    %    Los Alamos National Laboratory, Los Alamos, NM
    % ** Sylvain Baillet, PhD, Cognitive Neuroscience & Brain Imaging Laboratory,
    %    CNRS, Hopital de la Salpetriere, Paris, France
    %
    % See BrainStorm website at http://neuroimage.usc.edu for further information.
    %
    % Copyright (c) 2004 BrainStorm by the University of Southern California
    % This software distributed  under the terms of the GNU General Public License
    % as published by the Free Software Foundation. Further details on the GPL
    % license can be found at http://www.gnu.org/copyleft/gpl.html .
    %
    % FOR RESEARCH PURPOSES ONLY. THE SOFTWARE IS PROVIDED "AS IS," AND THE
    % UNIVERSITY OF SOUTHERN CALIFORNIA AND ITS COLLABORATORS DO NOT MAKE ANY
    % WARRANTY, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO WARRANTIES OF
    % MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE, NOR DO THEY ASSUME ANY
    % LIABILITY OR RESPONSIBILITY FOR THE USE OF THIS SOFTWARE.
    %<autoend> ------------------------ 23-Sep-2004 10:29:59 -----------------------

    % Last Modified by GUIDE v2.0 24-May-2004 17:32:33

    % /---Script Authors-------------------------------------\
    % |  *** Sylvain Baillet, Ph.D.                          |
    % |  Cognitive Neuroscience & Brain Imaging Laboratory   |
    % |  CNRS UPR640 - LENA                                  |
    % |  Hopital de la Salpetriere, Paris, France            |
    % |  sylvain.baillet@chups.jussieu.fr                    |
    % |                                                      |
    % | John C. Mosher, Ph.D.
    % \------------------------------------------------------/
    %
    % Script History ---------------------------------------------------------------
    % SB  10-Mar-2004  Creation (BrainStorm v.1 update)
    % JCM 26-Apr-2004  Comments cleanup, making SCS more automated for outside
    %                  calling.
    % JCM 25-May-2004  Fixed listing of the solution dipole numbers in the listbox
    % JCM 16-Jun-2004  in launch GUI, always call bst_layout, since openfig('reuse')
    %                  appears to shift location
    % JCM 17-Jun-2004  Added menubar 'figure' to the Timeseries and Topography
    %                  figures
    % Script History ---------------------------------------------------------------

    if nargin == 0  % LAUNCH GUI

       fig = openfig(mfilename,'reuse');

       % Use BST color scheme for figure:
       setappdata(fig,'TileType','T')
       bst_color_scheme(fig)
       bst_layout('align',fig,1,2,1);
       set(fig,'visible','on')

        % DoubleBuffer avoids flickering
        set(fig,'DoubleBuffer','on')

        % Generate a structure of handles to pass to callbacks, and store it.
        handles = guihandles(fig);
        guidata(fig, handles);

        % Basic diplay features
        % Assign proper look to viewing axis
        reset_axis([handles.axc, handles.axs, handles.axa]);

        if nargout > 0
            varargout{1} = fig;
        end

    elseif ischar(varargin{1}) % INVOKE NAMED SUBFUNCTION OR CALLBACK

        try
            if (nargout)
                [varargout{1:nargout}] = feval(varargin{:}); % FEVAL switchyard
            else
                feval(varargin{:}); % FEVAL switchyard
            end
        catch
            disp(lasterr);
        end

    end

    % --------------------------------------------------------------------
    function [] = clearAll(fig);
    % Delete all appdata linked to fingure fig
    allData = getappdata(fig);
    allDataFields = fieldnames(allData);
    for k = 1: length(allDataFields)
        if ~strcmp(lower(allDataFields{k}),'tiletype')
            rmappdata(fig,allDataFields{k});
        end
    end
    h = guihandles(fig);
    set(h.LockCursor,'Checked','off')
    set(h.Zoom,'Checked','off')

    % --------------------------------------------------------------------
    function varargout = slider_Callback(h, eventdata, handles, varargin)
    % Browse through slices

    MRI = getappdata(gcbf,'MRI');

    % where are we now ?
    newIndices = mm2vox(MRI,wherearewe(handles)); % coordinates in Voxels
    %newIndices(newIndices == 0) = 1;

    MRI = show_MRI(MRI,'update',newIndices);

    % % Update crosshair location if necessary
    % if strcmp(get(findobj(gcbf,'tag','AddCrosshair'),'checked'),'on')
    %     bst_mriviewer('AddCrosshair_Callback',findobj(gcbf,'tag','AddCrosshair'),'',handles,1);
    % end

    % --------------------------------------------------------------------
    function XYZ = wherearewe(handles)
    %Return MRI coordinates (in mm) of current point in volume

    XYZ(1) = get(handles.slider_x,'Value');
    XYZ(2) = get(handles.slider_y,'Value');
    XYZ(3) = get(handles.slider_z,'Value');

    % --------------------------------------------------------------------
    function varargout = LoadBrainStorm_Callback(h, eventdata, handles, varargin)
    % Load a MRI volume in BrainStorm format

    gcbf = findobj(0,'Tag','MRIViewer','Type','figure');
    clearAll(gcbf) % Clear all appdata currently stored in figure

    if nargin == 3 % No file specified - let user choose
        Current = get_user_directory;
        cd(Current.SUBJECTS)
        % Select file
        [filebs, pathbs] = uigetfile('*subjectimage*.mat','Select a .mat file containing the subject''s MRI.');
        if filebs==0
            return
        end
        cd(pathbs)
        filebs = fullfile(pathbs,filebs);
    else
        filebs = varargin{1};
    end

    % Load it
    makeuswait('start')
    MRI = load_BsTMRI(filebs);

    % Show it
    MRI = show_MRI(MRI);

    % Store it
    setappdata(gcbf,'MRI',MRI)

    if isfield(MRI,'PCS') % Older MRI brainstorm file
        bst_message_window('wrap',{...
                'Older BrainStorm file format detected',...
                'This is an older BrainStorm MRI file. You may need to re-define the subject''s coordinate system.',...
                'Transforming image cube to new BrainStorm coordinates. . .'})
        set(gcbf,'CurrentAxes',handles.axa)
        MRI = FlipUpDown;
        set(gcbf,'CurrentAxes',handles.axc)
        MRI = FlipLeftRight;

        % Fill out new SCS structure
        MRI.SCS.FiducialName = MRI.PCS.FiducialName;

        MRI.SCS.CubeFiducial = MRI.PCS.CubeFiducial([2 1 3],:);
        MRI.SCS.System = MRI.PCS.Comment; % Type of SCS.

        MRI.SCS.CubeFiducial(2,:) = size(MRI.Cube,2) + 1 - MRI.SCS.CubeFiducial(2,:);
        MRI.SCS.CubeFiducial(3,:) = size(MRI.Cube,3) + 1 - MRI.SCS.CubeFiducial(3,:);

        % Move to mm coordinates
        for k= 1:size(MRI.SCS.CubeFiducial,2)
            MRI.SCS.mmCubeFiducial(:,k) = vox2mm(MRI,MRI.SCS.CubeFiducial(:,k)');
        end

        MRI = rmfield(MRI,'PCS');

        % Now compute R,T transform
        [transf] = mri2scs(MRI);
        MRI.SCS.R = transf.R;
        MRI.SCS.T = transf.T;
        MRI.SCS.Origin = transf.Origin;

        setappdata(gcbf,'MRI',MRI)

        set(findobj(0,'tag','ShowFiducials'),'enable','on')
        bst_mriviewer('SaveAsBrainStorm_Callback','','',handles)

        bst_message_window('wrap',{...
                '->Done'})
    end

    % Enable to Show fiducials if they exist
    if isfield(MRI,'SCS')
        % Store to Landmark strucure
        if isfield( MRI,'Landmarks')
            MRI.Landmarks.Names = {MRI.SCS.FiducialName{:},MRI.Landmarks.Names{:}};
            MRI.Landmarks.MRImmXYZ = [MRI.SCS.mmCubeFiducial,MRI.Landmarks.MRImmXYZ];
        else
            MRI.Landmarks.Names = MRI.SCS.FiducialName;
            MRI.Landmarks.MRImmXYZ = [MRI.SCS.mmCubeFiducial];
        end

        MRI.SCS2Landmarks = [1 2 3 4]; % SCS fiducials are first 3 landmark points
        % Draw graphic object for each fiducial
        %setappdata(gcbf,'MRI',MRI)

        MRI.Landmarks.Handles = plot_MRI(MRI,MRI.Landmarks.MRImmXYZ);

        set(findobj(0,'tag','ShowFiducials'),'enable','on','checked','off')

        setappdata(gcbf,'MRI',MRI)
        bst_mriviewer('ShowFiducials_Callback','','','')
    else
        set(findobj(0,'tag','ShowFiducials'),'enable','off')
    end

    % That's it
    makeuswait('stop')

    % --------------------------------------------------------------------
    function varargout = ctfmri_Callback(h, eventdata, handles, varargin)
    % Proper import of CTF .mri file format

    % Machine format can be a problem here
    % (especially when importing from other plateforms)

    clearAll(gcbf) % Clear all appdata currently stored in figure

    % Is the MRIParameters window open ?
    MRIParamFig = findobj(0,'tag','MRIParameters','type','figure');
    if isempty(MRIParamFig) % No - open it
        mri_parameters('Create')
        % Now here is the figure
        MRIParamFig = findobj(0,'tag','MRIParameters','type','figure');
    end

    MRIParamHandles = guihandles(MRIParamFig);
    set(MRIParamHandles.DataFormat,'Value',2); % CTF scans are sagittal
    switch get(MRIParamHandles.MachineFormat,'value')
        case 1 % Big Endian
            MACHINEFORMAT = 'b';
        case 2 % Little Endian
            MACHINEFORMAT = 'l';
    end

    Current = get_user_directory;
    cd(Current.SUBJECTS)
    [filebs, pathbs] = uigetfile('*.mri','Please select a CTF .mri file');
    if filebs==0,    return,end
    cd(pathbs);

    makeuswait('start')
    bst_message_window('Reading CTF MRI file. . .')
    [MRI.Cube, Header] = read_ctf_mri(filebs,MACHINEFORMAT);

    bst_message_window({...
            char(Header.identifierString),...
            'Reading CTF MRI file -> DONE'})

    MRI.Voxsize = [Header.mmPerPixel_sagittal Header.mmPerPixel_coronal Header.mmPerPixel_axial];

    %permVect: Permutation vector to apply to the original cube
    % and associated parameters to get the MR volume in the proper
    % orientation of the MRViwer and BrainStorm format.
    permVect = [3,1,2];

    % reArrange voxel location to move to BrainStorm MRI coordinate system
    MRI.Cube = permute(MRI.Cube,permVect);
    MRI.Voxsize = MRI.Voxsize(permVect);

    MRI.Cube = MRI.Cube(:,end:-1:1,end:-1:1);

    MRI.header = 0; % Now for BrainStorm format
    tmpString = {'uchar','ushort'};
    MRI.DataClass = tmpString{Header.dataSize};
    MRI.scantype = 'sagittal';
    % Show it
    MRI = show_MRI(MRI);

    setappdata(findobj(0,'tag','MRIViewer','type','figure'),'MRI',MRI)
    mri_parameters('Create','','','', findobj(0,'tag','MRIViewer','type','figure'))

    % If defined, fill-out SCS information
    try %... to read the headmodel information
        if isfield(Header,'HeadModel_Info') % store in BrainStorm format
            bst_message_window('Importing fiducial locations. . .')
            MRI.SCS.FiducialName = {'Nasion'  'LeftEar'  'RightEar'};
            MRI.SCS.CubeFiducial = [Header.HeadModel_Info.Nasion_Sag,Header.HeadModel_Info.LeftEar_Sag,Header.HeadModel_Info.RightEar_Sag;...
                    Header.HeadModel_Info.Nasion_Cor,Header.HeadModel_Info.LeftEar_Cor,Header.HeadModel_Info.RightEar_Cor;...
                    Header.HeadModel_Info.Nasion_Axi,Header.HeadModel_Info.LeftEar_Axi,Header.HeadModel_Info.RightEar_Axi...
                ];
            MRI.SCS.System = 'CTF'; % Type of SCS.

            MRI.SCS.CubeFiducial(2,:) = size(MRI.Cube,2) + 1 - MRI.SCS.CubeFiducial(2,:);
            MRI.SCS.CubeFiducial(3,:) = size(MRI.Cube,3) + 1 - MRI.SCS.CubeFiducial(3,:);

            % Move to mm coordinates
            for k= 1:size(MRI.SCS.CubeFiducial,2)
                MRI.SCS.mmCubeFiducial(:,k) = vox2mm(MRI,MRI.SCS.CubeFiducial(:,k)');
            end

            % Store to Landmark strucure
            if isfield( MRI,'Landmarks')
                MRI.Landmarks.Names = {MRI.SCS.FiducialName{:},MRI.Landmarks.Names{:}};
                MRI.Landmarks.MRImmXYZ = [MRI.SCS.mmCubeFiducial,MRI.Landmarks.MRImmXYZ];
            else
                MRI.Landmarks.Names = MRI.SCS.FiducialName;
                MRI.Landmarks.MRImmXYZ = [MRI.SCS.mmCubeFiducial];
            end

            MRI.SCS2Landmarks = 1:length(MRI.SCS.FiducialName); % SCS fiducials are first 3 landmark points
            % Draw graphic object for each fiducial
            %setappdata(gcbf,'MRI',MRI)

            MRI.Landmarks.Handles = plot_MRI(MRI,MRI.Landmarks.MRImmXYZ);

            set(findobj(0,'tag','ShowFiducials'),'enable','on')
        end

        setappdata(findobj(0,'tag','MRIViewer','type','figure'),'MRI',MRI)

        set(findobj(0,'Tag','ShowFiducials'),'checked','off','enable','on')
        % Show/Hide fiducials in the MR volume
        ShowFiducials_Callback([],[], handles)
        DefineSCS_Callback([], [], handles)

    catch
        % do nothing
        set(findobj(0,'tag','ShowFiducials'),'enable','off')
    end

    setappdata(findobj(0,'tag','MRIViewer','type','figure'),'MRI',MRI)

    bst_message_window({...
            'That''s it.'})

    makeuswait('stop')

    % --------------------------------------------------------------------
    function varargout = fifmri_Callback(h, eventdata, handles, varargin)

    % --------------------------------------------------------------------
    function varargout = importANALYZE_Callback(h, eventdata, handles, varargin)

    % Which machine format is this ?
    handles = guihandles(gcbf);
    switch (get(handles.LittleEndian,'checked'))
        case 'on' % Little endian (default)
            MACHINEFORMAT = 'ieee-le';
        otherwise
            MACHINEFORMAT = 'ieee-be'; % Big_endian
    end

    set(0,'CurrentFigure',handles.MRIViewer)

    Current = get_user_directory;
    cd(Current.SUBJECTS)

    [anatfile, anatpath] = uigetfile('*.img','Please select ANALYZE MRI file (.img)' );
    if (anatfile == 0), return, end
    cd(anatpath);

    % Call D. Weber's tool
    makeuswait('start')
    [ avw, machine ] = avw_img_read(strtok(anatfile,'.'),'',MACHINEFORMAT);

    % Convert to BrainStorm format
    MRI = avw2brainstorm(avw, machine);

    % Show it
    MRI = show_MRI(MRI);

    setappdata(handles.MRIViewer,'MRI',MRI)

    makeuswait('stop')

    %-----------------------------------------------------------------------------------------------

    function varargout = gismri_Callback(h, eventdata, handles, varargin)
    % Import GIS format (an MRI file format for better interchange with BrainVisa software [http://brainvisa.info])

    Users = get_user_directory;

    % Look for .ima extension of GIS file pair (one .dim and one .ima)
    [Files, Filenames] = file_selection_win({'gis image'},Users.SUBJECTS);

    if isempty(Files{1}), return, end
    if length(Files{1} > 1),
        Files = Files{1}; % Consider only first file
    end

    makeuswait('start')
    % Read .dim header file
    try
        [nx, ny, nslices,datatype,dx,dy,dz,BO,OM] = ...
        textread(strrep(Files,'.ima','.dim'),'%d%d%d\n-type%s\n -dx%f -dy%f -dz%f\n-bo%s\n-om%s');
    catch
        [nx, ny, nslices,nt, datatype,dx,dy,dz,dt,BO,OM] = ...
        textread(strrep(Files,'.ima','.dim'),'%d%d%d%d\n-type%s\n -dx%f -dy%f -dz%f -dt%f\n-bo%s\n-om%s');
    end

    % Store required information in MRI structure

    MRI.header = 0;
    MRI.Voxsize = [dx dy dz]; clear dx dy dz
    MRI.scantype = 'axial'; % Default (not specified in .dim header)
    MRI.DataClass = strrep(datatype{1},'S','int');

    switch(get(handles.LittleEndian,'checked'))
        case 'on'
            file = fopen(strrep(Files,'.dim','.ima'),'rb','l'); %
        case 'off'
            file = fopen(strrep(Files,'.dim','.ima'),'rb','b'); %  big-endian byte ordering
    end

    MRI.Cube = int16(fread(file, prod([nx ny nslices]),MRI.DataClass)); % Read the whole volume / store in a huge vector
    fclose(file);
    MRI.Cube = reshape(MRI.Cube,nx,ny,nslices); % reshape it into a 3-D array.

    permVect = [3,1,2];

    % reArrange voxel location to move to BrainStorm MRI coordinate system
    MRI.Cube = permute(MRI.Cube,permVect);
    MRI.Voxsize = MRI.Voxsize(permVect);

    MRI.Cube = MRI.Cube(:,end:-1:1,end:-1:1);

    % Show it
    MRI = show_MRI(MRI);

    setappdata(findobj(0,'tag','MRIViewer','type','figure'),'MRI',MRI)

    makeuswait('stop')
    % --------------------------------------------------------------------
    function varargout = dicommri_Callback(h, eventdata, handles, varargin)

    % --------------------------------------------------------------------
    function varargout = rawmri_Callback(h, eventdata, handles, varargin)
    % Import MRI raw scans

    % GUI for input of MRI parameters
    mri_parameters('Create',h,'','',gcbf)

    paramFig = findobj(0,'Tag','MRIParameters','type','figure');
    paramHandles = guihandles(paramFig);
    % Change Button String
    % set(paramHandles.Quit,'String','Done') % JCM: did it in the GUI
    bst_message_window('wrap',...
        {,' ',' -> Fill-out the basic parameter values for the MRI images to be imported into BrainStorm, then click on the ''Done'' button.'});

    % --------------------------------------------------------------------

    function varargout = rawmri_done
    % Go on once scan parameters are entered (called by mri_parameters.m)
    MRIViewer = findobj(0,'Tag','MRIViewer','type','figure');
    if isempty(MRIViewer), return, end

    handles = guihandles(MRIViewer);

    if ~isappdata(handles.MRIViewer,'tmpMRI') % User did killed the mri_parameters window before filling out all fields
        return
    else
        tmpMRI = getappdata(handles.MRIViewer,'tmpMRI'); % Fetch image and file parameters
    end

    % Ask for file extension
    [fileType] = inputdlg('Type the extension of the MRI file(s) to import (e.g. *.mri)','',1,{'*.*'});
    if isempty(fileType{:})
        return
    end

    Users = get_user_directory;
    [Files, Filenames] = file_selection_win(fileType,Users.SUBJECTS);

    % Note: if several files were selected, scans are concatenated

    islice = 0;
    % Now read all files
    makeuswait('start')
    MRI.scantype = tmpMRI.scantype;

    for file = Files
        try
            file_mri = fopen(file{1},'r',tmpMRI.MachineFormat);
            if file_mri < 1
                bst_message_window('wrap',...
                    {' ',sprintf('-> Invalid File Name %s',file{1}),' '})
                return;
            end

            fseek(file_mri,tmpMRI.HeaderSize,'bof'); % Skip header

            switch MRI.scantype % Axial/Sagittal/Coronal
                case 'axial'
                    MRI.Cube = (zeros(tmpMRI.ImageSize(1),tmpMRI.ImageSize(2),tmpMRI.NumberOfSlices)); % Initialze
                case 'sagittal'
                    MRI.Cube = (zeros(tmpMRI.ImageSize(1),tmpMRI.NumberOfSlices,tmpMRI.ImageSize(2))); % Initialze
                case 'coronal'
                    MRI.Cube = (zeros(tmpMRI.ImageSize(2),tmpMRI.ImageSize(1),tmpMRI.NumberOfSlices)); % Initialze
            end

            hwait = waitbar(0,'Please wait while BrainStorm is importing the scans...');
            for i = 1:tmpMRI.NumberOfSlices
                islice = islice+1; % Global slice index across all files
                if feof(file_mri)
                    errordlg('Please Check Image size / Number of Slices : do not match file size')
                    return
                end

                switch MRI.scantype % Axial/Sagittal/Coronal
                    case 'axial'
                        MRI.Cube(:,:,islice) = (fread(file_mri,tmpMRI.ImageSize,tmpMRI.DataFormat));
                    case 'sagittal'
                        MRI.Cube(:,islice,:) = (fread(file_mri,tmpMRI.ImageSize,tmpMRI.DataFormat));
                    case 'coronal'
                        MRI.Cube(islice,:,:) = (fread(file_mri,tmpMRI.ImageSize,tmpMRI.DataFormat));
                end

                if ~rem(islice,10)
                    waitbar(i/tmpMRI.NumberOfSlices)
                end

            end
            fclose(file_mri);
            close(hwait);

        catch
            % Error occured
            if ~isempty(Files{1})
                errordlg(sprintf('Wrong parameter specification for scan(s) in file %s', file{1}))
            end
            makeuswait('stop')
            return
        end
    end

    % Fill-out remaining parameters
    MRI.DataClass = 'ushort';
    MRI.Voxsize = [tmpMRI.FOV(1)/size(MRI.Cube,1), tmpMRI.FOV(2)/size(MRI.Cube,2), tmpMRI.SliceThickness];

    % and store
    setappdata(handles.MRIViewer,'MRI',MRI);

    % House cleaning
    rmappdata(handles.MRIViewer,'tmpMRI');

    % Display
    show_MRI(MRI);

    makeuswait('stop')
    % --------------------------------------------------------------------
    function varargout = VolumeParameters_Callback(h, eventdata, handles, varargin)

    % Call specific function
    mri_parameters('Create',h,'','',gcbf)

    % --------------------------------------------------------------------
    function varargout = SaveAsBrainStorm_Callback(h, eventdata, handles, varargin)

    % Save MRI in BrainStorm -mat format
    MRI = getappdata(handles.MRIViewer,'MRI');

    if ~isfield(MRI,'FileName')
        Current = get_user_directory;
        PATHSTR = Current.SUBJECTS;
        NAME = 'subjectimage.mat';
    else
        [PATHSTR,NAME,EXT,VERSN] = fileparts(MRI.FileName);
    end

    cd(PATHSTR)
    [file,path] = uiputfile(NAME,'Save Anatomical Scans in...');
    if file == 0,     return,end
    if isempty(findstr(file,'subjectimage'))
        file = strtok(file,'.');
        file = [file,'_subjectimage.mat'];
    end

    cd(path)
    makeuswait('start')

    % Clean-up MRI structure (useless or old fieldnames)
    Fields2BDeleted  = {'FOV','Origin','sag','ax','cor','hFiducials','header','Comment','filename'};
    SCSFields2BDeleted  = {'Origin','Comment'};

    for k = 1:length(Fields2BDeleted)
        if isfield(MRI,Fields2BDeleted{k})
            MRI = rmfield(MRI,Fields2BDeleted{k});
        end
    end

    if isfield(MRI,'SCS')
        for k = 1:length(SCSFields2BDeleted)
            if isfield(MRI.SCS,SCSFields2BDeleted{k})
                MRI.SCS = rmfield(MRI.SCS,SCSFields2BDeleted{k});
            end
        end
    end

    if isfield(MRI,'SCS2Landmarks') % don't need to be stored in file
        tmpLandmarks = MRI.Landmarks;
        MRI.Landmarks.MRImmXYZ = MRI.Landmarks.MRImmXYZ(:,setdiff([1:end],MRI.SCS2Landmarks));
        MRI.Landmarks.Names = MRI.Landmarks.Names(setdiff([1:end],MRI.SCS2Landmarks));
        tmpHandles = MRI.Landmarks.Handles;
        MRI.Landmarks = rmfield(MRI.Landmarks,'Handles');
        tmpSCS2Landmarks = MRI.SCS2Landmarks;
        MRI = rmfield(MRI,'SCS2Landmarks');
    end

    save_fieldnames(MRI,file)

    if exist('tmpLandmarks','var') % don't need to be stored in file
        MRI.Landmarks = tmpLandmarks;
        MRI.SCS2Landmarks = tmpSCS2Landmarks;
        MRI.Landmarks.Handles = tmpHandles;
    end

    MRI.FileName = fullfile(path,file);
    setappdata(handles.MRIViewer,'MRI',MRI);

    bst_message_window('wrap',...
        sprintf('MRI saved in %s ',fullfile(path,file)))

    makeuswait('stop')

    % --------------------------------------------------------------------
    function varargout = DefineSCS_Callback(h, eventdata, handles, varargin)

    % Call external function and GUI
    pcs_params('create','','','',get(handles.PointList,'string'));

    %waitfor(findobj(0,'type','figure','tag','pcsparams')) % Get info about fiducials

    % --------------------------------------------------------------------
    function varargout = DefineSCSdone_Callback(h, eventdata, handles, varargin)

    % Launched by pressing the "done" button in pcs_params, requires that
    % pcs_params still be present with the information

    % Get fiducials coordinates
    % Since this routine may have been launched from outside, don't assume on
    % input.
    fig = findobj(0,'type','figure','tag','MRIViewer'); % find the handle to the bst_mriviewer
    handles = guihandles(fig); % reload the handles

    MRI = getappdata(fig,'MRI'); % get the current MRI structure

    if isfield(MRI,'SCS')
        if isfield(MRI.SCS,'CubeFiducial') % Deprecated field; should not be saved in file
            MRI.SCS = rmfield(MRI.SCS,'CubeFiducial');
        end
    end

    % Get fiducial information
    MRI.SCS2Landmarks = getappdata(findobj(0,'Tag','pcsparams'),'LookUpFiducials');
    paramHandles = guihandles(findobj(0,'Tag','pcsparams'));
    FiduSystem = get(paramHandles.checkboxnmag,'Value');
    switch (FiduSystem)
        case 1
            FiduSystem = 'NEUROMAG';
        otherwise
            FiduSystem = 'CTF';
    end
    MRI.SCS.System = FiduSystem;
    MRI.SCS.mmCubeFiducial = MRI.Landmarks.MRImmXYZ(:,MRI.SCS2Landmarks);
    % Remove fiducial points from landmarks
    MRI.SCS.FiducialName = MRI.Landmarks.Names(MRI.SCS2Landmarks);

    [transf] = mri2scs(MRI);

    MRI.SCS.R = transf.R;
    MRI.SCS.T = transf.T;
    MRI.SCS.Origin = transf.Origin;

    MRI.SCS.mmCubeFiducial(:,end+1) = MRI.SCS.Origin;
    MRI.SCS.FiducialName{end+1} = sprintf('%s SCS origin',MRI.SCS.System);

    setappdata(fig,'MRI',MRI);

    % Display
    plot_MRI(MRI,MRI.SCS.Origin,[],{sprintf('%s SCS origin',MRI.SCS.System)});
    show_MRI(MRI,'update',mm2vox(MRI,MRI.SCS.Origin));

    % Save
    bst_mriviewer('SaveAsBrainStorm_Callback','','',handles);

    % --------------------------------------------------------------------
    function varargout = ShowFiducials_Callback(h, eventdata, handles, varargin)
    % Show/Hide fiducials in the MR volume

    MRIfig = findobj(0,'Tag','MRIViewer','Type','figure');
    MRI = getappdata(MRIfig,'MRI');
    if ~isfield(MRI,'SCS'),
        errordlg('No fiducials were defined.','Unvalid operation')
        return
    end

    switch(get(findobj(0,'Tag','ShowFiducials'),'checked'))
        case 'off' % Show fiducials
            % Plot fiducials in volume
            %MRI.hFiducials = plot_MRI(MRI,MRI.SCS.mmCubeFiducial,[],MRI.SCS.FiducialName); % in meters
            %setappdata(MRIfig,'MRI',MRI)
            set(MRI.Landmarks.Handles(MRI.SCS2Landmarks),'visible','on')

            % Show fiducial list in lisbox
            set(findobj(MRIfig,'tag','PointList'),'String',MRI.Landmarks.Names,'Value',1);
            % Plot fiducial points
            bst_mriviewer('PointList_Callback','','', guihandles(MRIfig), '');

            % Move to MR slices that contain the Nasion point, i.e. point #1
            show_MRI(MRI,'update',mm2vox(MRI,MRI.SCS.mmCubeFiducial(:,1)'));

            set(findobj(0,'Tag','ShowFiducials'),'checked','on')

        case 'on' % Hide fiducials
            % Delete associated patch objects
            %         if ishandle(MRI.hFiducials(1))
            %             delete(MRI.hFiducials)
            %         end
            set(MRI.Landmarks.Handles(MRI.SCS2Landmarks,:),'visible','off')
            %MRI = rmfield(MRI,'hFiducials');
            %setappdata(MRIfig,'MRI',MRI)

            % Show all landmarks but those defined as SCS fiducials
            set(findobj(MRIfig,'tag','PointList'),'String',MRI.Landmarks.Names(setdiff([1:end],MRI.SCS2Landmarks)),'Value',1);

            set(findobj(0,'Tag','ShowFiducials'),'checked','off')
    end

    % --------------------------------------------------------------------

    function [] = isvisible(MRI,hObjects)
    %ISVISIBLE Check which object is visible in current slices
    % isvisible(MRI,MRIplot)

    MRIViewer = findobj(0,'tag','MRIViewer','type','figure');
    handles = guihandles(MRIViewer);
    currCoord = mm2vox(MRI,wherearewe(handles)); % In voxel units

    hObjects = hObjects(:);
    hObjects = hObjects(hObjects>0);
    hObjects = hObjects(ishandle(hObjects));

    ntol = 2; % Apply a n-voxel ntol tolerance on selected slice
    for k = 1:length(hObjects)

        XYZObject = mm2vox(MRI,get(hObjects(k),'Userdata')');
        % Full 3D coordinates need to be stored in handles' Userdata
        if isempty(XYZObject) % Object is outside the slices
            %errordlg('Selected object is not within MRI volume. Please check its coordinates or redefine fiducial points.')
            return
        end

        switch(get(hObjects(k),'Parent')) % Now, depending on which slice the object belongs to
            case(handles.axa)
                if ismember(XYZObject(3),[currCoord(3)-ntol:currCoord(3)+ntol])
                    set(hObjects(k),'Visible','on')
                else
                    set(hObjects(k),'Visible','off')
                end
            case(handles.axc)
                if ismember(XYZObject(2),[currCoord(2)-ntol:currCoord(2)+ntol]) % Apply a one-voxel tolerance on selected slice
                    set(hObjects(k),'Visible','on')
                else
                    set(hObjects(k),'Visible','off')
                end
            case(handles.axs)
                if ismember(XYZObject(1),[currCoord(1)-ntol:currCoord(1)+ntol]) % Apply a one-voxel tolerance on selected slice
                    set(hObjects(k),'Visible','on')
                else
                    set(hObjects(k),'Visible','off')
                end
        end

    end

    % --------------------------------------------------------------------
    function varargout = LoadSourceMap_Callback(h, eventdata, handles, varargin)
    % Load a results file into the viewer
    % Optional: filename is stored in varargin{1}

    makeuswait('start')
    VERBOSE = 1;

    if nargin == 3
        Current = get_user_directory;
        cd(Current.STUDIES)
        % Select file
        [resFile, pathbs] = uigetfile('*result*.mat','Select a BrainStorm result file.');
        if resFile==0
            return
        end
        cd(pathbs)
        resFile = fullfile(pathbs,resFile);
    else

        resFile = varargin{1}; % Result file
        % Load it
        Current = get_user_directory;
        resFile = fullfile(Current.STUDIES,resFile);
        cd(fileparts(resFile));
    end

    Results = load(resFile);

    if VERBOSE,
        try
            bst_message_window('wrap',...
                {'Results file from'...
                    sprintf('%s',fullfile(Current.STUDIES,Results.GUI.DataName))...
                    'loaded into results visualization tool'...
                    '------------------'});
        end

        %    bst_message_window({'Click on the list of sources to place a source on the MRI scan'...
        %          'To append list of sources choose LoadSources\Load Parametric '...
        %          'To delete a source from the list right click '...
        %          'while the cursor is over the source list to get a drop-down menu'...
        %          'and choose an appropriate action'...
        %          '------------------'});
    end

    % Is MRIViewer opened ?
    mriFig = findobj(0,'Tag','MRIViewer','type','figure');
    if isempty(mriFig)
        mriFig = bst_mriviewer;
    end

    % File location of subject's anatomy
    try
        % if list is empty open MRI tool window
        if(isfield(Results.Subject,'SubjectImage'))
            SubjectImageFile = fullfile(Current.SUBJECTS,Results.Subject.SubjectImage);
            %         elseif(isfield(Results.Subject,'Anatomy'))
            %             SubjectImageFile = fullfile(Current.SUBJECTS,Results.Subject.Anatomy);
        elseif isfield(Results.StudySubject,'Subject')
            Current = get_user_directory;
            load(fullfile(Current.SUBJECTS,Results.StudySubject.Subject),'Anatomy')
            SubjectImageFile = fullfile(Current.SUBJECTS,Anatomy);
        else
            warndlg('<Anatomy> or <SubjectImage> fields are not specified in the Results.Subject object');

            bst_message_window({'Warning!: <Anatomy> or <SubjectImage> fields are'...
                    'not specified in the Results.Subject object'...
                    '------------------'});
            return;
        end;
    catch

        warndlg('Results structure does not contain all necessary fields');

    end;

    % Are there results already in memory of MRIViewer ?
    if ~isappdata(mriFig,'mriResults') % No : load MRI

        % Load subjectimage MRI
        bst_mriviewer('LoadBrainStorm_Callback','','','',SubjectImageFile);

        % Store for future usage
        mriResults.SubjectImageFile = SubjectImageFile;

    else
        mriResults = getappdata(mriFig,'mriResults');
    end

    % Are current results from current subject in MRIViewer ?
    if ~strcmp(SubjectImageFile,mriResults.SubjectImageFile) % No
        mriResults.SubjectImageFile = SubjectImageFile;
        % Load subjectimage MRI
        bst_mriviewer('LoadBrainStorm_Callback','','','',mriResults.SubjectImageFile);
    end

    MRI = getappdata(mriFig,'MRI'); % Get MRI Information

    % Do we append current sources to some former session ?
    if(isfield(mriResults,'Source'))
        n_old = length(mriResults.Source);
        mriResults.nloads = mriResults.nloads + 1;
    else
        n_old = 0;
        mriResults.nloads = 1;
    end;
    mriResults.ChannelFlag = Results.ChannelFlag;

    nsource = length(Results.SourceLoc); % How many sources

    % Start storing source information in mriResults structure
    for n=1:nsource

        mriResults.Source(n_old+n).ChannelFlag = Results.ChannelFlag;
        mriResults.Source(n_old+n).Name= num2str(n);
        mriResults.Source(n_old+n).Loc = Results.SourceLoc{n};
        mriResults.Source(n_old+n).TimeSeries = Results.TimeSeries(:,n);

        if isfield(Results,'DataFlag') % Original data: either MEG, EEG or Fusion
            mriResults.Source(n_old+n).DataFlag = Results.DataFlag;
        else
            mriResults.Source(n_old+n).DataFlag = 'MEG'; % Assume default
        end

        Data = load(Results.GUI.DataName,'Time'); % Load original data time vector
        if(~isempty(Data))
            mriResults.Source(n_old+n).Time = Data.Time(Results.Time);
        else
            mriResults.Source(n_old+n).Time =  1:length(mriResults.Source(n_old+n).TimeSeries);
        end;

        %    % JCM 15-Nov-2003 for some reason, AOS removed the mean. Reversed that
        %    %  and multiplied the time series  by 1e9 to yield nA-m
        %    if 0,
        %       mriResults.Source(n_old+n).TCPlotHandle = plot(mriResults.Source(n_old+n).Time*1000,...
        %          mriResults.Source(n_old+n).TimeSeries-...
        %          mean(mriResults.Source(n_old+n).TimeSeries),...
        %          'LineWidth',1,'Color','b','Visible','off',...
        %          'Parent',handles.sourcetimeseries);
        %    else
        %       % time in milliseconds, amplitude in nA-m
        %       mriResults.Source(n_old+n).TCPlotHandle = plot(mriResults.Source(n_old+n).Time * 1000,...
        %          mriResults.Source(n_old+n).TimeSeries * 1e9,...
        %          'LineWidth',1,'Color','b','Visible','off',...
        %          'Parent',handles.sourcetimeseries);
        %    end

        mriResults.Source(n_old+n).SourceCorrelation = Results.SourceCorrelation(n);
        mriResults.Source(n_old+n).IndepTopo = Results.IndepTopo(:,n);

        if(isfield(Results.StudySubject,'Channel')) % Channel is a field from StudySubject
            mriResults.Source(n_old+n).Channel=Results.StudySubject.Channel;
        elseif(isfield(Results.Study,'Channel'))
            mriResults.Source(n_old+n).Channel=Results.Study.Channel;
        else
            mriResults.Source(n_old+n).Channel=[];
            bst_message_window({sprintf('Default channel file %s not found',ChannelTest),...
                    'Source topography will not be available'});
        end;

        mriResults.Source(n_old+n).SourceOrder = Results.SourceOrder(n);
        mriResults.Source(n_old+n).Comment = Results.Comment;
        % mriResults.Source(n_old+n).LocMRI = transform('rap2mri',Results.SourceLoc{n},PCS);

        % Move to mri coordinates
        [mriResults.Source(n_old+n).LocMRI] = scs2mri(MRI,Results.SourceLoc{n}*1000);

        if(mriResults.Source(n_old+n).SourceOrder==-1)
            tmp = scs2mri(MRI,1000*Results.SourceOrientation{n});
            mriResults.Source(n_old+n).OrientMRI = tmp/norm(tmp);
        elseif(mriResults.Source(n_old+n).SourceOrder==2)
            tmp = scs2mri(MRI,1000*Results.SourceOrientation{n}(1:3));
            mriResults.Source(n_old+n).OrientMRI(:,1) = tmp/norm(tmp);
            tmp = scs2mri(MRI,1000*Results.SourceOrientation{n}(4:6));
            mriResults.Source(n_old+n).OrientMRI(:,2) = tmp/norm(tmp);
        else
            mriResults.Source(n_old+n).OrientMRI = [0 0 0]';
        end;

        % See source indep topos
        if n == 1;
            topoFig = figure;
            %set(topoFig,'visible','off'); % hide while we build
            % give it a unique name for now
            set(topoFig,'name',sprintf('Topography Fig %.0f',topoFig));
            setappdata(topoFig,'TileType','T');
            bst_color_scheme(topoFig)
            set(topoFig,'menubar','figure')
            bst_layout('align',topoFig,2,2,2);
            %set(topoFig,'visible','on');

            nrows = ceil(sqrt(nsource));
            ncols = ceil(sqrt(nsource));

        end
        figure(topoFig), hold on
        OPTIONS.Axes = subplot(nrows,ncols,n);
        OPTIONS.DisplayTypes = [0 0 5]; % 2D disc
        OPTIONS.Colorbar = 0;
        Channel = load(mriResults.Source(n_old+n).Channel);
        Channel = Channel.Channel;
        OPTIONS.SelectedChannels{1} = good_channel(Channel,...
            mriResults.Source(n_old+n).ChannelFlag,mriResults.Source(n_old+n).DataFlag); % CHEAT Hardwired 'MEG' results
        OPTIONS.Channel =  Channel(OPTIONS.SelectedChannels{1}); % CHEAT Hardwired 'MEG' results
        OPTIONS.SelectedChannels{1} = 1:length(OPTIONS.Channel);
        OPTIONS.Modality = 1; % CHEAT Hardwired 'MEG' results
        OPTIONS.ModalityLabel = {sprintf('Source %d',n)};
        OPTIONS.SensorMarkers = 0;
        bst_wavedata_display({mriResults.Source(n_old+n).IndepTopo},OPTIONS)

    end;

    timeseriesFig = figure;
    setappdata(timeseriesFig,'TileType','T');
    %set(timeseriesFig,'visible','off'); % hide while we build
    % give it a unique name for now
    set(timeseriesFig,'name',sprintf('Timeseries Fig %.0f',timeseriesFig));
    bst_color_scheme(timeseriesFig)
    set(timeseriesFig,'menubar','figure');
    bst_layout('align',timeseriesFig,2,2,4);
    %set(timeseriesFig,'visible','on');
    OPTIONS.DisplayTypes = [1 0 0]; % Overlay
    OPTIONS.DataType = 'source';
    OPTIONS.Modality = 1; % CHEAT Hardwired 'MEG' results
    OPTIONS.ModalityLabel = {'Source(s)'};
    OPTIONS.Time = mriResults.Source(n_old+1).Time;
    OPTIONS.WaveLabel = {mriResults.Source(n_old+1:end).Name};
    bst_wavedata_display({mriResults.Source(n_old+1:end).TimeSeries},OPTIONS)

    setappdata(mriFig,'mriResults',mriResults)

    % See sources (with orientations)
    handles = guihandles(mriFig);
    nptlist = length(get(handles.PointList,'String'));

    ObjectHandles = plot_MRI(MRI,[mriResults.Source([n_old+1:end]).LocMRI],...
        [mriResults.Source([n_old+1:end]).OrientMRI],...
        {mriResults.Source(n_old+1:end).Name});

    % Update MRI.Landmarks structure
    if ~isfield(MRI,'Landmarks')
        MRI.Landmarks.MRImmXYZ = [];
        MRI.Landmarks.Names = {};
        MRI.Landmarks.Handles = [];
    end

    MRI.Landmarks.MRImmXYZ = [MRI.Landmarks.MRImmXYZ,[mriResults.Source([n_old+1:end]).LocMRI]];
    MRI.Landmarks.Handles = [MRI.Landmarks.Handles;ObjectHandles];

    if isempty(MRI.Landmarks.Names)
        MRI.Landmarks.Names = cellstr(num2str([1:size(ObjectHandles,1)]'));
    else
        MRI.Landmarks.Names(end+1:end+size(ObjectHandles,1)) = cellstr(num2str([1:size(ObjectHandles,1)]'));
    end

    setappdata(mriFig,'MRI',MRI)

    set(handles.PointList,'String',MRI.Landmarks.Names,'Value',nptlist+1)
    bst_mriviewer('AddCrosshair_Callback','','','',1);
    bst_mriviewer('PointList_Callback','','','')

    makeuswait('stop')

    % --------------------------------------------------------------------
    function varargout = SaveScouts_Callback(h, eventdata, handles, varargin)

    % --------------------------------------------------------------------
    function varargout = LoadScouts_Callback(h, eventdata, handles, varargin)

    % --------------------------------------------------------------------
    function varargout = cortic_remap_Callback(h, eventdata, handles, varargin)

    % --------------------------------------------------------------------
    function varargout = ImportSPM_Callback(h, eventdata, handles, varargin)
    % Import SPM functional maps and overlay with anatomical
    % Go on once scan parameters are entered (called by mri_parameters.m)

    makeuswait('start')

    MRIViewer = findobj(0,'Tag','MRIViewer','type','figure');
    if isempty(MRIViewer), return, end

    handles = guihandles(MRIViewer);

    if ~isappdata(handles.MRIViewer,'tmpMRI') % User did killed the mri_parameters window before filling out all fields
        tmpMRI.MachineFormat = 'ieee-be'; % Default machine format is big-endian
    else
        tmpMRI = getappdata(handles.MRIViewer,'tmpMRI'); % Fetch image and file parameters
    end

    %% --- Load ANALYZE files
    Users = get_user_directory;
    cd(Users.SUBJECTS)

    [anatfile, anatpath] = uigetfile('*.img','Please select the aMRI file (.img)' );
    if (anatfile == 0), return, end
    cd(anatpath);

    % Is SPM installed on this machine ?
    tmp = which('spm_vol');
    if isempty(tmp)
        errordlg('SPM toolbox was not found in Matlab search paths. Action is aborted.','SPM toolbox not found');
        return
    end

    eval('V = spm_vol(anatfile);','ok=0;');
    Vorig = V.mat;
    clear V

    [blobfile, blobpath] = uigetfile('*.img','Please select the fMRI map');
    if (blobfile == 0), return, end
    cd(blobpath);

    eval('V = spm_vol(blobfile);','ok=0;');

    %---------------------------------------
    % Read img volumes
    % Anatomy

    % Call D. Weber's tool
    [ avw, machine ] = avw_img_read(strtok(anatfile,'.'),'', tmpMRI.MachineFormat );

    % Convert to BrainStorm format
    MRI = avw2brainstorm(avw, machine);

    clear avw machine

    % fMRI
    bst_message_window('Reading functional files...');
    file = fopen(V.fname,'rb',tmpMRI.MachineFormat );
    %fseek(file,0,'bof');
    fMRI.Cube = zeros(V.dim(1),V.dim(2),V.dim(3));

    for i= 1:V.dim(3)%:-1:1 % Lower Slice first
        if feof(file)
            msgbox('Please check that data is of ''uint8'' type', 'BrainStorm Message')
            errordlg('Please Check Image size / Number of Slices : do not match file size')
            return
        end
        fMRI.Cube(:,:,i) = (fread(file,[V.dim(1),V.dim(2)],'uint8'));
        %waitbar((mri_scan.blob.nslice-i)/mri_scan.blob.nslice);
    end
    fclose(file);
    fMRI.Cube(isnan(fMRI.Cube)) = 0;
    bst_message_window('Reading functional files... -> Done');

    %---------------------------------------

    %
    % disp('Reading functional files...');
    % file = fopen(V.fname,'rb',MACHINEFORMAT);
    % fseek(file,header,'bof');
    % for i= 1:mri_scan.blob.nslice%:-1:1 % Lower Slice first
    %     if feof(file)
    %         msgbox('Please check that data is of ''uint8'' type', 'BrainStorm Message')
    %         errordlg('Please Check Image size / Number of Slices : do not match file size')
    %         return
    %     end
    %     blob(:,:,i) = (fread(file,[siz(1),siz(2)],mri_scan.code));
    %     %waitbar((mri_scan.blob.nslice-i)/mri_scan.blob.nslice);
    % end
    % % fclose(file);
    % % disp('Reading functional files... -> Done');
    %
    % mri_scan.blob.scan = blob;
    % mri_scan.blob.V = V;
    %
    % eval('mri_scan.blob')
    %
    % %% --- reading of the functional file completed
    %
    %
    % %% -- Interpolation to the resolution of the anatomical MR scan
    %
    % pix_siz = mri_scan.pix_siz ;  % Voxel size of the anatomical MR scan

    %% -- Reslicing
    bst_message_window('wrap',...
        'Interpolating functional scans into anatomical volume...')

    % [XI,YI] = meshgrid(linspace(1,size(fMRI.Cube,1),size(MRI.Cube,1)),...
    %     linspace(1,size(fMRI.Cube,2),size(MRI.Cube,2)));
    % iblob = zeros(size(MRI.Cube,2),size(MRI.Cube,1),size(fMRI.Cube,3));
    % for i=1:size(fMRI.Cube,3)
    %     iblob(:,:,i) = interp2(fMRI.Cube(:,:,i),XI,YI,'*linear');
    % end

    % Interpolate along the z-axis
    [qo,ro] = qr(Vorig(1:3,1:3));
    [q,r] = qr(V.mat(1:3,1:3));

    scale = abs(r(9)/ro(9)); % Scaling along the z-axis
    n_slice = floor(scale * size(fMRI.Cube,3));

    [XI,YI,ZI] = meshgrid(linspace(1,size(fMRI.Cube,2),size(MRI.Cube,2)),...
        linspace(1,size(fMRI.Cube,1),size(MRI.Cube,1)),linspace(1,size(fMRI.Cube,3),n_slice));
    iiblob = interp3(fMRI.Cube,XI,YI,ZI,'*linear');
    iiblob(isnan(iiblob)) = 0;

    scale_func = size(fMRI.Cube); clear fMRI

    % Position of the functional blobs in mm
    [iorig] = find(iiblob);
    t = iiblob(iorig); % Effects
    [i,j,k] = ind2sub(size(iiblob),iorig);
    xyz = [i';j';k'];
    clear i j k

    % Rescale to original voxel units
    scale_anat= (size(iiblob));
    scale = diag( scale_func./scale_anat);
    xyz = scale*xyz ;
    xyz =  [V.mat] * [xyz;ones(1,size(xyz,2))] ; % affine transformation mapping from voxel coordinates to real world coordinates (fMRI space)
    xyz = xyz(1:3,:);
    xyz =  inv(Vorig) * [xyz;ones(1,size(xyz,2))] ; % affine transformation mapping from real world coordinates to voxel coordinates (MRI space)
    xyz = round(xyz(1:3,:));
    %xyz = round(ROTmm2mri * xyz + repmat(TRANSmm2mri,1, size(xyz,2)));

    mri_scan.CubeOrigin = Vorig(1:3,4);%round([ORI./scale]'); % Indices of the slices containing the origin

    mri_scan.blob.Cube = xyz;

    %iiblob = zeros(size(mri_scan.mri,1),size(mri_scan.mri,2),size(mri_scan.mri,3));
    sizz = size(MRI.Cube);
    tt = sub2ind([sizz],mri_scan.blob.Cube(1,:),mri_scan.blob.Cube(2,:),mri_scan.blob.Cube(3,:));

    % % For Kevin ----- flip U/D
    % tmp = zeros(size(iiblob(:,:,1)));
    % for k = 1:size(iiblob,3)
    %     tmp = flipud(iiblob(:,:,k));
    %     iiblob(:,:,k) = tmp;
    % end
    % clear tmp
    [iorig] = find(iiblob);
    t = iiblob(iorig); % Effects
    clear iiblob
    ngray = floor(max(MRI.Cube(:))/2);
    MRI.Cube(tt(t>0*mean(t))) =  ngray+(t(t>0*mean(t))+eps)*ngray/max(t);

    % Show result
    setappdata(MRIViewer,'MRI',MRI);
    show_MRI(MRI);

    % ax = findobj(MAINWINDOW,'Tag','colorbar');
    % axes(ax)
    % colormapp = split(65:end,:);
    % n = size(colormapp,1);
    % image([0, 1], [0 10],(n+1:2*n)');
    % set(ax,'Ydir','normal','Tag','colorbar')
    % set(ax,'xtick',[],'ycolor',frontcolor,'xcolor',frontcolor)

    % Colormap
    split = [bone(ngray);hot(ngray+10)];
    colormap(split)

    % --------------------------------------------------------------------
    function varargout = Talairach_Callback(h, eventdata, handles, varargin)

    % --------------------------------------------------------------------
    function varargout = TalairachTransform_Callback(h, eventdata, handles, varargin)

    % --------------------------------------------------------------------
    function varargout = DefineScouts_Callback(h, eventdata, handles, varargin)

    % --------------------------------------------------------------------
    function varargout = DefineCorticalScouts_Callback(h, eventdata, handles, varargin)

    % --------------------------------------------------------------------
    function varargout = Quit_Callback(h, eventdata, handles, varargin)

    delete(findobj(0,'Tag','MRIViewer','Type','figure'))
    delete(findobj(0,'Tag','pcsparams','Type','figure'))

    % --------------------------------------------------------------------
    function [ObjectHandles] = plot_MRI(MRI,pointsCoord,varargin);
    %plot_MRI - Plot points in MR volume using BST_MRIVIEWER
    % hFiducials = plot_MRI(MRI,pointsCoord);
    % hFiducials = plot_MRI(MRI,pointsCoord,pointOrient);
    % hFiducials = plot_MRI(MRI,pointsCoord,pointOrient, pointsLabel);
    % MRI is a valid BrainStorm MRI structure (see subjectimage file format)
    % pointsCoord is a 3x1 vector or a 3xN matrix which contains the coordinates of the points (in mm) to be plotted
    % pointsOrient is a 3x1 vector or a 3xN matrix which contains the orientation of the sources
    % pointsLabel is a cell array of strings containing a label for each landmark
    %
    % ObjectHandles a Nx3 (or Nx6 when orientations are specified) matrix of patch (and line) object handles one for each point.
    % ObjectHandles(k,i) is the handle of the kth point in the coronal (i=1), sagittal (i=2), axial (i=3) plane
    % (i=4:6 are the same for line objects associated to orientations in all 3 planes, if specified in pointsOrient)

    if size(pointsCoord,1) ~= 3
        pointsCoord = pointsCoord';
    end

    if nargin > 2
        pointsOrient = varargin{1};
        if size(pointsOrient,1) ~= 3
            pointsOrient = pointsOrient';
        end
        %     pointsLabel = cellstr(num2str(1:size(pointsCoord,2))); % Default labelling
        %     if nargin == 4
        %         pointsLabel = varargin{2};
        %     end
    else
        pointsOrient = [];
    end

    ObjectHandles = zeros(size(pointsCoord,2),6);

    fig = findobj(0,'tag','MRIViewer','type','figure');
    handles = guihandles(fig);

    Colors = get(0,'DefaultAxesColorOrder'); % Default line colors

    for k = 1:size(pointsCoord,2) % For each point
        % Axial plane
        axes(handles.axa), hold on
        % Handle to patch object in axial plane
        ObjectHandles(k,3) = scatter(pointsCoord(1,k),pointsCoord(2,k),'o','filled');
        set(ObjectHandles(k,3),'Parent',handles.axa,'visible','off');
        if ~isempty(pointsOrient) % Draw line
            pointsOrient = 3*pointsOrient; % plot scaling factor
            ObjectHandles(k,6) = line([pointsCoord(1,k),pointsCoord(1,k)+pointsOrient(1,k)],[pointsCoord(2,k),pointsCoord(2,k)+pointsOrient(2,k)]);
        end

        % same story for next 2 planes
        axes(handles.axc), hold on
        ObjectHandles(k,1) = scatter(pointsCoord(1,k),pointsCoord(3,k),'o','filled');
        set(ObjectHandles(k,1),'Parent',handles.axc,'visible','off');
        if ~isempty(pointsOrient) % Draw line
            ObjectHandles(k,4) = line([pointsCoord(1,k),pointsCoord(1,k)+pointsOrient(1,k)],[pointsCoord(3,k),pointsCoord(3,k)+pointsOrient(3,k)]);
        end

        axes(handles.axs), hold on
        ObjectHandles(k,2) = scatter(pointsCoord(2,k),pointsCoord(3,k),'o','filled');
        set(ObjectHandles(k,2),'Parent',handles.axs,'visible','off');
        if ~isempty(pointsOrient) % Draw line
            ObjectHandles(k,5) = line([pointsCoord(2,k),pointsCoord(2,k)+pointsOrient(2,k)],[pointsCoord(3,k),pointsCoord(3,k)+pointsOrient(3,k)]);
        end

        set([ObjectHandles(k,1:3)],...
            'Userdata',pointsCoord(:,k),'markerfacecolor',Colors(modulo(k,size(Colors,1)),:),...
            'MarkerEdgeColor',Colors(modulo(k,size(Colors,1)),:)) % Store full 3D coordinates in handles' Userdata for isvisible check

        if ~isempty(pointsOrient) % Draw line
            set([ObjectHandles(k,4:6)],...
                'Userdata',pointsCoord(:,k),'color',Colors(modulo(k,size(Colors,1)),:),'linewidth',2) % Store full 3D coordinates in handles' Userdata for isvisible check
        end
    end

    % --------------------------------------------------------------------

    function [MRI] = show_MRI(MRI, varargin);
    % show_MRI - Show a MRI volume in BST_MRIVIEWER
    % function [] = show_MRI(MRI, 'update', [iX,iY,iZ]);
    % iX (res. iY, iZ) is the index of the coronal (res. sagittal, axial) slice to be displayed

    fig = findobj(0,'type','figure','tag','MRIViewer');

    if nargin > 1

        handles = guihandles(fig);
        action = varargin{1};
        switch(action)
            case 'update' % Update display with new slices
                newIndices = varargin{2};
                set(findobj(handles.axa,'type','image'),'CData',MRI.Cube(:,:,newIndices(3))','CdataMapping','scaled')
                set(findobj(handles.axc,'type','image'),'CData',squeeze(MRI.Cube(:,newIndices(2),:))','CdataMapping','scaled')
                set(findobj(handles.axs,'type','image'),'CData',squeeze(MRI.Cube(newIndices(1),:,:))','CdataMapping','scaled')

                mriCoord = vox2mm(MRI,newIndices);

        end

    else  % Create new display

        fig = bst_mriviewer;
        handles = guihandles(fig);

        MRI.FOV = size(MRI.Cube).*MRI.Voxsize;

        ngray = 256; % Default grayscale

        % Delete previous graphic objects
        delete(findobj([get(handles.axa,'children'),get(handles.axc,'children'),get(handles.axs,'children')],...
            'type','patch'))
        delete(findobj([get(handles.axa,'children'),get(handles.axc,'children'),get(handles.axs,'children')],...
            'type','line'))
        delete(findobj([get(handles.axa,'children'),get(handles.axc,'children'),get(handles.axs,'children')],...
            'type','text'))
        delete(findobj([get(handles.axa,'children'),get(handles.axc,'children'),get(handles.axs,'children')],...
            'type','image'))

        %     if isappdata(fig,'MRIPoint')
        %         rmappdata(fig,'MRIPoint');
        %     end
        set(handles.PointList,'String','')

        %     delete(findobj(get(handles.axc,'children'),'type','patch'))
        %     delete(findobj(get(handles.axs,'children'),'type','patch'))
        %     delete(findobj(get(handles.axa,'children'),'type','line'))
        %     delete(findobj(get(handles.axc,'children'),'type','line'))
        %     delete(findobj(get(handles.axs,'children'),'type','line'))
        %     delete(findobj(get(handles.axa,'children'),'type','image'))
        %     delete(findobj(get(handles.axc,'children'),'type','image'))
        %     delete(findobj(get(handles.axs,'children'),'type','image'))

        if 1 % deprecated code
            % Scale gray levels to 255 to save the MRI in uint8
            % Memory requirememts necessitate a slice-by-slice loop on most machines
            M = double(max(MRI.Cube(:))); % May be rather time consuming if limited RAM is availlable
            if M > (ngray-1)
                hw = waitbar(0,'Scaling the MRI to 256 gray levels...');
                for k = 1:size(MRI.Cube,3)
                    if ~rem(k,50)
                        waitbar(k/size(MRI.Cube,3),hw);
                    end

                    tmp = double(MRI.Cube(:,:,k)) ;
                    MRI.Cube(:,:,k) = int16(tmp * ((ngray - 1 )/M)) ;
                end

                MRI.Cube = uint8(MRI.Cube);
                delete(hw)
                drawnow
                setappdata(fig,'MRI',MRI);
            end

            if M < ngray - 1
                tmp = double(MRI.Cube) ;
                MRI.Cube = int16(tmp * ((ngray - 1 )/M)) ;
            end

            clear tmp
        end

        % Default slice index values
        iX  = round(size(MRI.Cube,1)/2);
        iY  = round(size(MRI.Cube,2)/2);
        iZ  = round(size(MRI.Cube,3)/2);

        % Display

        %% -- Axial View
        axes(handles.axa)
        MRI.ax = image([0, MRI.FOV(1)],[0,MRI.FOV(2)],MRI.Cube(:,:,iZ)','Parent',handles.axa);% DO NOT REMOVE transpose IF YOU KEEP ON USING the image COMMAND
        V = axis;
        set(handles.axa,'Tag','axa','Xtick',[],'Ytick',[])
        text(V(1),V(4),'A','horizontalalignment','right',...
            'verticalalignment','baseline','color','w');
        text(V(1),V(3),'P','horizontalalignment','right',...
            'verticalalignment','baseline','color','w');
        text(V(1),V(3),'L','horizontalalignment','left',...
            'verticalalignment','cap','color','w');
        text(V(2),V(3),'R','horizontalalignment','right',...
            'verticalalignment','cap','color','w');

        caxis([0 ngray-1])
        %axis([0, max(MRI.FOV) 0, max(MRI.FOV)])
        %% -- Axial view Done

        %% -- Sagittal view
        axes(handles.axs)
        MRI.sag = image([0 MRI.FOV(2)],[0 MRI.FOV(3)],squeeze(MRI.Cube(iX,:,:))','Parent',handles.axs);% DO NOT REMOVE transpose IF YOU KEEP ON USING the image COMMAND
        V = axis;
        set(handles.axs,'Tag','axs','Xtick',[],'Ytick',[])
        text(V(1),V(4),'T','horizontalalignment','right',...
            'verticalalignment','baseline','color','w');
        text(V(1),V(3),'B','horizontalalignment','right',...
            'verticalalignment','baseline','color','w');
        text(V(1),V(3),'P','horizontalalignment','left',...
            'verticalalignment','cap','color','w');
        text(V(2),V(3),'A','horizontalalignment','right',...
            'verticalalignment','cap','color','w');

        caxis([0 ngray-1])
        %axis([0, max(MRI.FOV) 0, max(MRI.FOV)])
        %% -- Sagittal view Done

        %% -- Coronal view
        axes(handles.axc)
        MRI.cor = image([0 MRI.FOV(1)],[0 MRI.FOV(3)],squeeze(MRI.Cube(:,iY,:))','Parent',handles.axc);% DO NOT REMOVE transpose IF YOU KEEP ON USING the image COMMAND
        V = axis;
        set(handles.axc,'Tag','axc','Xtick',[],'Ytick',[]);
        text(V(1),V(4),'T','horizontalalignment','right',...
            'verticalalignment','baseline','color','w');
        text(V(1),V(3),'B','horizontalalignment','right',...
            'verticalalignment','baseline','color','w');
        text(V(1),V(3),'L','horizontalalignment','left',...
            'verticalalignment','cap','color','w');
        text(V(2),V(3),'R','horizontalalignment','right',...
            'verticalalignment','cap','color','w');
        caxis([0 ngray-1])
        %axis([0, max(MRI.FOV) 0, max(MRI.FOV)])
        %% -- Coronal view Done

        % Reset axes look
        reset_axis([handles.axc, handles.axs, handles.axa]);
        set([MRI.ax,MRI.cor,MRI.sag],'uicontextmenu',get(handles.axc,'uicontextmenu'))

        % Update navigation handles
        mriCoord = vox2mm(MRI,[iX,iY,iZ]);
        set(handles.slider_x,'Visible','on','Min', 0,'Max',MRI.FOV(1))
        set(handles.slider_y,'Visible','on','Min', 0,'Max',MRI.FOV(2))
        set(handles.slider_z,'Visible','on','Min', 0,'Max',MRI.FOV(3))

        % Apply colormap
        colormap(bone(ngray))
    end

    set(handles.X,'fontunits','points','fontsize',7,'string',sprintf('X = %3.1f',mriCoord(1)))
    set(handles.Y,'fontunits','points','fontsize',7,'string',sprintf('Y = %3.1f',mriCoord(2)))
    set(handles.Z,'fontunits','points','fontsize',7,'string',sprintf('Z = %3.1f',mriCoord(3)))
    if isfield(MRI,'SCS')
        [transf,scsCoord] = mri2scs(MRI,mriCoord');
        set(handles.scsX,'fontunits','points','fontsize',7,'string',sprintf('X = %3.1f',scsCoord(1)))
        set(handles.scsY,'fontunits','points','fontsize',7,'string',sprintf('Y = %3.1f',scsCoord(2)))
        set(handles.scsZ,'fontunits','points','fontsize',7,'string',sprintf('Z = %3.1f',scsCoord(3)))
    else
        set([handles.scsX,handles.scsY,handles.scsZ],'fontunits','points','fontsize',7,'string',' - ')
    end

    set(handles.slider_x,'Value',mriCoord(1))
    set(handles.slider_y,'Value',mriCoord(2))
    set(handles.slider_z,'Value',mriCoord(3))

    % Update crosshair location if necessary
    if strcmp(get(findobj(fig,'tag','AddCrosshair'),'checked'),'on')
        bst_mriviewer('AddCrosshair_Callback',findobj(fig,'tag','AddCrosshair'),'',handles,1);
    end

    % Check which object is visible in current slices
    if isfield(MRI,'Landmarks')
        if isfield(MRI.Landmarks,'Handles')
            isvisible(MRI,MRI.Landmarks.Handles)
        end
    end

    % --------------------------------------------------------------------

    function   [] = reset_axis(H)
    % Properly reset the appearance of the MRIViewer axes

    line_color = .8*[1 1 1]; % Axis Borders

    set(H,'visible','on','Xcolor',line_color ,'Ycolor',line_color,'Color','k',...
        'box','on','layer','top','xgrid','off','ygrid','off','Ydir','normal','gridlinestyle','-',...
        'XtickLabel','','YTickLabel','', 'Xtick',[], 'Ytick',[]);

    axis(H, 'equal')

    set(0,'CurrentFigure',findobj(0,'Tag','MRIViewer','Type','figure'))
    axisMenu = uicontextmenu;
    uimenu(axisMenu,'Label','Flip Up/Down','Callback',...
        'bst_mriviewer(''FlipUpDown'')');
    uimenu(axisMenu,'Label','Flip Left/Right','Callback',...
        'bst_mriviewer(''FlipLeftRight'')');
    uimenu(axisMenu,'Separator','on','Label','Transpose','Callback',...
        'bst_mriviewer(''Transpose'')');

    set(H,'uicontextmenu',axisMenu)

    % --------------------------------------------------------------------

    function MRI = FlipUpDown
    % Flip MRI images up/down, based on on currentaxes

    % Get MRI volume
    MRI = getappdata(gcbf,'MRI');
    handles = guihandles(gcbf);

    switch(gca) % Depending on current axes
        case (handles.axc)
            MRI.Cube = MRI.Cube(:,:,[end:-1:1]);
        case (handles.axa)
            MRI.Cube = MRI.Cube(:,[end:-1:1],:);
        case (handles.axs)
            MRI.Cube = MRI.Cube(:,:,[end:-1:1]);
    end

    XYZ = wherearewe(handles);
    setappdata(gcbf,'MRI',MRI)
    MRI = show_MRI(MRI,'update',mm2vox(MRI,XYZ));

    if isfield(MRI,'Landmarks') % permute also landmarks locations
        tmp = size(MRI.Cube) .* MRI.Voxsize;
        switch(gca) % Depending on current axes
            case {handles.axc,handles.axs}
                MRI.Landmarks.MRImmXYZ(3,:) = tmp(1)-MRI.Landmarks.MRImmXYZ(3,:);
            case (handles.axa)
                MRI.Landmarks.MRImmXYZ(2,:) = tmp(2)-MRI.Landmarks.MRImmXYZ(2,:);
        end

        delete(MRI.Landmarks.Handles(MRI.Landmarks.Handles~=0))
        MRI.Landmarks = rmfield(MRI.Landmarks,'Handles');
        MRI.Landmarks.Handles = plot_MRI(MRI,MRI.Landmarks.MRImmXYZ,[],MRI.Landmarks.Names);
        isvisible(MRI,MRI.Landmarks.Handles)
    end

    setappdata(gcbf,'MRI',MRI)

    % --------------------------------------------------------------------

    function MRI = FlipLeftRight
    % Flip MRI images Left/Right, based on on currentaxes

    % Get MRI volume
    MRI = getappdata(gcbf,'MRI');
    handles = guihandles(gcbf);

    switch(gca) % Depending on current axes
        case (handles.axc)
            MRI.Cube = MRI.Cube([end:-1:1],:,:);
        case (handles.axa)
            MRI.Cube = MRI.Cube([end:-1:1],:,:);
        case (handles.axs)
            MRI.Cube = MRI.Cube(:,[end:-1:1],:);
    end

    XYZ = wherearewe(handles);
    setappdata(gcbf,'MRI',MRI)
    MRI = show_MRI(MRI,'update',mm2vox(MRI,XYZ));

    if isfield(MRI,'Landmarks') % permute also landmarks locations
        tmp = size(MRI.Cube) .* MRI.Voxsize;
        switch(gca) % Depending on current axes
            case {handles.axc,handles.axa}
                MRI.Landmarks.MRImmXYZ(1,:) = tmp(1)-MRI.Landmarks.MRImmXYZ(1,:);
            case (handles.axs)
                MRI.Landmarks.MRImmXYZ(2,:) = tmp(2)-MRI.Landmarks.MRImmXYZ(2,:);
        end

        delete(MRI.Landmarks.Handles(MRI.Landmarks.Handles~=0))
        MRI.Landmarks = rmfield(MRI.Landmarks,'Handles');
        MRI.Landmarks.Handles = plot_MRI(MRI,MRI.Landmarks.MRImmXYZ,[],MRI.Landmarks.Names);
        isvisible(MRI,MRI.Landmarks.Handles)
    end

    setappdata(gcbf,'MRI',MRI)

    %bst_mriviewer('slider_Callback','','',guihandles(gcbf))

    % --------------------------------------------------------------------

    function MRI = Transpose
    % Transpose MRI images, based on on currentaxes

    makeuswait('start')
    % Get MRI volume
    MRI = getappdata(gcbf,'MRI');
    handles = guihandles(gcbf);

    switch(gca) % Depending on current axes
        case (handles.axc)
            perm = [3 2 1]; % permutation of indices
        case (handles.axa)
            perm = [2 1 3]; % permutation of indices
        case (handles.axs)
            perm = [1 3 2]; % permutation of indices
    end

    set(gcbf,'pointer','watch')
    MRI.Cube = permute(MRI.Cube, perm);

    % update voxel dimensions & FOV
    MRI.Voxsize = MRI.Voxsize(perm);
    MRI.FOV = size(MRI.Cube) .* MRI.Voxsize ;

    XYZ = wherearewe(handles);
    setappdata(gcbf,'MRI',MRI)
    MRI = show_MRI(MRI,'update',mm2vox(MRI,XYZ));

    if isfield(MRI,'Landmarks') % permute also landmarks locations
        MRI.Landmarks.MRImmXYZ = MRI.Landmarks.MRImmXYZ(perm,:);
        delete(MRI.Landmarks.Handles(MRI.Landmarks.Handles~=0))
        MRI.Landmarks = rmfield(MRI.Landmarks,'Handles');
        MRI.Landmarks.Handles = plot_MRI(MRI,MRI.Landmarks.MRImmXYZ,[],MRI.Landmarks.Names);
        isvisible(MRI,MRI.Landmarks.Handles)
    end

    setappdata(gcbf,'MRI',MRI)

    % if isfield(MRI,'SCS')
    %     % Finally, show fiducials if requested
    %     bst_mriviewer('ShowFiducials_Callback','','','')
    % end

    makeuswait('stop')

    % --------------------------------------------------------------------
    function mriCoord = vox2mm(MRI,sliceIndices);
    % Coordinate transform from slice indices to mm (MR coordinates)

    if size(sliceIndices,1) == 3
        sliceIndices = sliceIndices';
    end

    mriCoord = ((size(MRI.Cube).*MRI.Voxsize)./(size(MRI.Cube)-1)) .* (sliceIndices -1);
    if ~isempty(find(mriCoord > (size(MRI.Cube).*MRI.Voxsize))) % Point effectively outside image
        mriCoord = [];
    end

    % --------------------------------------------------------------------
    function sliceIndices = mm2vox(MRI,mriCoord);
    % Coordinate transform from mm (MR coordinates) indices to indices

    if size(mriCoord,1) == 3
        mriCoord = mriCoord';
    end

    sliceIndices = round((((size(MRI.Cube)-1)./(size(MRI.Cube).*MRI.Voxsize)) .* mriCoord) +1);
    if ~isempty(find(sliceIndices > size(MRI.Cube))) | ~isempty(find(sliceIndices <= 0))
        sliceIndices = []; % Point effectively outside image
    end

    % --------------------------------------------------------------------
    function varargout = LockCursor_Callback(h, eventdata, handles, varargin)

    switch(get(h,'checked'))
        case 'on'
            set(h,'checked','off')
            set([findobj(handles.axa,'type','image'),findobj(handles.axc,'type','image'),findobj(handles.axs,'type','image')],...
                'Buttondownfcn','')
            set(gcbf,'WindowButtonMotionFcn','','WindowButtonDownFcn','','WindowButtonUpFcn','');
        case 'off'
            set(h,'checked','on')
            set(handles.Zoom,'Checked','off'); zoom off
            set([findobj(handles.axa,'type','image'),findobj(handles.axc,'type','image'),findobj(handles.axs,'type','image')],...
                'Buttondownfcn','bst_mriviewer(''move2cursor'')');
            set(gcbf,'WindowButtonMotionFcn','','WindowButtonDownFcn','bst_mriviewer(''move2cursor'')','WindowButtonUpFcn','bst_mriviewer(''stopmoving'')');
    end

    % --------------------------------------------------------------------
    function [] = stopmoving
    set(gcbf,'WindowButtonMotionFcn','','WindowButtonDownFcn','bst_mriviewer(''move2cursor'')')

    % --------------------------------------------------------------------
    function [] = move2cursor

    handles = guihandles(gcbf);
    MRI = getappdata(gcbf,'MRI');

    switch get(gcbf,'CurrentAxes')
        case handles.axa

            tmp = get(handles.axa,'Currentpoint');
            tmp = tmp(1,1:2);
            Z = get(handles.slider_z,'Value');
            mriCoord = [tmp,Z];

        case handles.axs

            tmp = get(handles.axs,'Currentpoint');
            tmp = tmp(1,1:2);
            X = get(handles.slider_x,'Value');
            mriCoord =[X,tmp];

        case handles.axc

            tmp = get(handles.axc,'Currentpoint');
            tmp = tmp(1,1:2);
            Y = get(handles.slider_y,'Value');
            mriCoord = [tmp(1),Y,tmp(2)];

        otherwise
            return
    end

    newIndices = mm2vox(MRI,mriCoord);

    if isempty(newIndices), return, end  % Point is outisde image

    show_MRI(MRI,'update',newIndices);

    % % Update crosshair location if necessary
    % if strcmp(get(findobj(gcbf,'tag','AddCrosshair'),'checked'),'on')
    %     bst_mriviewer('AddCrosshair_Callback',findobj(gcbf,'tag','AddCrosshair'),'',handles,1);
    % end

    set(gcbf,'WindowButtonMotionFcn','bst_mriviewer(''move2cursor'')',...
        'WindowButtonDownFcn','bst_mriviewer(''move2cursor'')')%,'DoubleBuffer','on')

    % --------------------------------------------------------------------
    function varargout = AddCrosshair_Callback(h, eventdata, handles, varargin)
    % Add crosshair cursor to orthogonal views
    %if varargin == 1: show crosshair cursor anyhow

    fig = findobj('Tag','MRIViewer','type','figure');
    handles = guihandles(fig);
    MRI = getappdata(fig,'MRI');
    h = findobj(fig,'tag','AddCrosshair');

    if isempty(varargin)
        switch(get(h,'checked'))
            case 'on'
                set(h,'checked','off') % Remove cursor

                axaXtick = [];
                axaYtick = [];

                axcXtick = [];
                axcYtick = [];

                axsXtick = [];
                axsYtick = [];
                varargin{1} = 0;  % we want off
            case 'off'
                set(h,'checked','on')
                varargin{1} = 1; % we want on
        end
    end

    if varargin{1} == 1
        set(h,'checked','on')
    end

    axaXtickLabel = '';
    axaYtickLabel = '';
    axcXtickLabel = '';
    axcYtickLabel = '';
    axsXtickLabel = '';
    axsYtickLabel = '';

    if strcmp(get(h,'checked'),'on')% Update crosshair location

        X = get(handles.slider_x,'Value');
        Y = get(handles.slider_y,'Value');
        Z = get(handles.slider_z,'Value');
        mriCoord = [X,Y,Z];

        axaXtick = [mriCoord(1)];
        axaXtickLabel = '';
        axaYtick = [mriCoord(2)];
        axaYtickLabel = '';

        axcXtick = [mriCoord(1)];
        axcXtickLabel = '';
        axcYtick = mriCoord(3);
        axcYtickLabel = '';

        axsXtick = mriCoord(2);
        axsXtickLabel = '';
        axsYtick = mriCoord(3);
        axsYtickLabel = '';

    end

    set(handles.axa,'xgrid','on','ygrid','on','Xtick',axaXtick,'XtickLabel',axaXtickLabel,...
        'Ytick',axaYtick,'YtickLabel',axaYtickLabel)
    set(handles.axc,'xgrid','on','ygrid','on','Xtick',axcXtick,'XtickLabel',axcXtickLabel,...
        'Ytick',axcYtick,'YtickLabel',axcYtickLabel)
    set(handles.axs,'xgrid','on','ygrid','on','Xtick',axsXtick,'XtickLabel',axsXtickLabel,...
        'Ytick',axsYtick,'YtickLabel',axsYtickLabel)

    % --------------------------------------------------------------------
    function varargout = Zoom_Callback(h, eventdata, handles, varargin)
    % Toggle zoom state and adjust views (axes limits) in orthogonal views

    % Check / uncheck zoom menu item
    switch(get(handles.Zoom,'Checked'))
        case 'on'
            zoom off
            set(handles.Zoom,'Checked','off')
            set(handles.MRIViewer,'WindowButtonMotionFcn','','WindowButtonUpFcn','')
            %reset_axis([handles.axa,handles.axc,handles.axs])
        case 'off'
            set(handles.Zoom,'Checked','on')
            %set([handles.axa,handles.axc,handles.axs],'UIContextMenu',[])
            set(handles.LockCursor,'Checked','off')
            zoom on
            set(handles.MRIViewer,'WindowButtonMotionFcn',' nowzooming','WindowButtonUpFcn',' nowzooming')

    end

    % --------------------------------------------------------------------

    function varargout = PointList_Callback(h, eventdata, handles, varargin)

    fig = findobj(0,'Tag','MRIViewer','Type','figure');

    MRI = getappdata(fig,'MRI');
    handles = guihandles(fig);
    cPoint = get(handles.PointList,'Value');

    % Show appropriate slices
    try
        show_MRI(MRI,'update',mm2vox(MRI,MRI.Landmarks.MRImmXYZ(:,cPoint)'));
    catch
        errordlg('Selected point is outside the MRI volume. Please check its coordinates or redefine fiducial points.')
        return
    end

    % Where are we ?
    mmPoint = wherearewe(guihandles(fig)); % Current coordinates in mm
    voxPoint = mm2vox(MRI,mmPoint);
    bst_message_window({...
            'Current point:',...
            sprintf('%3.1f %3.1f %3.1f (mm)',mmPoint),...
            sprintf('%3.1f %3.1f %3.1f (voxels)',voxPoint)...
        })

    % --------------------------------------------------------------------
    function varargout = SelectPoint_Callback(h, eventdata, handles, varargin)
    % Select current point in MR views and store as a landmark

    MRIfig = findobj(0,'Tag','MRIViewer','Type','figure');

    MRI = getappdata(MRIfig,'MRI');
    mmPoint = wherearewe(handles); % Current coordinates in mm
    voxPoint = mm2vox(MRI,mmPoint);
    bst_message_window({...
            'Current point:',...
            sprintf('%3.1f %3.1f %3.1f (mm)',mmPoint),...
            sprintf('%3.1f %3.1f %3.1f (voxels)',voxPoint)...
        })

    prompt  = {'Enter a label for current point:'};
    title   = 'Please assign a label to the selected point';
    lines = 1;
    def     = {'Freak out !','Wazoo','Pumpkin',...
            'Zoot Allure','Call Any Vegetable','Creamcheese','Ruben','King Kong','Uncle Bernie'};
    idef = randperm(length(def)); idef = idef(1);
    answer  = inputdlg(prompt,title,lines,def(idef));

    if isempty(answer)
        return
    end

    % Update display
    if size(mmPoint,1) ~= 3
        mmPoint = mmPoint';
    end
    ObjectHandles = plot_MRI(MRI,mmPoint);

    % Update MRI.Landmarks structure
    if ~isfield(MRI,'Landmarks')
        MRI.Landmarks.MRImmXYZ = [];
        MRI.Landmarks.Names = {};
        MRI.Landmarks.Handles = [];
    end

    for k = 1:size(mmPoint,2) % For each point
        tmp_XYZ = mm2vox(MRI,mmPoint(:,k))';
        if isempty(tmp_XYZ)
            warndlg(sprintf('Source # %d is outside the MRI cube.',k),'Source is discarded')
        else
            MRI.Landmarks.MRImmXYZ = [MRI.Landmarks.MRImmXYZ ,mmPoint(:,k)]; % 3 x N matrix
        end
    end

    MRI.Landmarks.Handles = [MRI.Landmarks.Handles;ObjectHandles];

    if isempty(MRI.Landmarks.Names)
        MRI.Landmarks.Names = answer;
    else
        MRI.Landmarks.Names(end+1:end+length(answer)) = answer;
    end

    %switch(get(findobj(0,'Tag','ShowFiducials'),'checked'))
    set(handles.PointList,'String',MRI.Landmarks.Names,'Value', length(MRI.Landmarks.Names))

    setappdata(MRIfig,'MRI',MRI);

    bst_mriviewer('PointList_Callback','','', guihandles(MRIfig), '');

    % --------------------------------------------------------------------
    function varargout = DeletePoint_Callback(h, eventdata, handles, varargin)

    % Delete current point in list

    MRI = getappdata(gcbf,'MRI');
    handles = guihandles(gcbf);
    cPoint = get(handles.PointList,'Value');

    % Update structure
    %MRIPoint = getappdata(gcbf,'MRIPoint');
    MRI.Landmarks.MRImmXYZ = MRI.Landmarks.MRImmXYZ(:,[1:end]~=cPoint);
    %MRI.Landmarks.XYZvox = MRI.Landmarks.XYZvox(:,[1:end]~=cPoint);
    MRI.Landmarks.Names = MRI.Landmarks.Names([1:end]~=cPoint);

    % delete patch corresponding patch object in all 3 views
    ndx = find(MRI.Landmarks.Handles(cPoint,:)); % non-zero handles
    delete(MRI.Landmarks.Handles(cPoint,ndx))
    MRI.Landmarks.Handles = MRI.Landmarks.Handles([1:end]~=cPoint,:);

    setappdata(gcbf,'MRI',MRI);

    set(handles.PointList,'String',MRI.Landmarks.Names,'value',length(MRI.Landmarks.Names))
    bst_mriviewer('PointList_Callback','','','')

    % --------------------------------------------------------------------
    function varargout = RenamePoint_Callback(h, eventdata, handles, varargin)

    % Rename current point in list
    MRI = getappdata(gcbf,'MRI');
    handles = guihandles(gcbf);
    cPoint = get(handles.PointList,'Value');

    prompt  = {'Enter a label for current point:'};
    title   = 'Please assign a label to the selected point';
    lines = 1;
    answer  = inputdlg(prompt,title,lines,MRI.Landmarks.Names(cPoint));

    if isempty(answer)
        return
    end

    MRI.Landmarks.Names{cPoint} = answer{1};
    set(handles.PointList,'String',MRI.Landmarks.Names)

    setappdata(gcbf,'MRI',MRI)

    % --------------------------------------------------------------------
    function varargout = SeeAllPoints_Callback(h, eventdata, handles, varargin)

    % Sell all patch points in figure
    set(findobj(handles.MRIViewer,'type','patch'),'Visible','on')
    set(findobj(handles.MRIViewer,'type','line'),'Visible','on')
    set(handles.SeeAllPoints,'checked','on')
    set(handles.HideAllPoints,'checked','off')

    % --------------------------------------------------------------------
    function varargout = HideAllPoints_Callback(h, eventdata, handles, varargin)

    % Hide all patch points in figure
    set(findobj(handles.MRIViewer,'type','patch'),'Visible','off')
    set(findobj(handles.MRIViewer,'type','line'),'Visible','off')
    set(handles.SeeAllPoints,'checked','off')
    set(handles.HideAllPoints,'checked','on')

    % --------------------------------------------------------------------
    function varargout = Brighten_Callback(h, eventdata, handles, varargin)

    clim = get(findobj(handles.MRIViewer,'type','axes'),'CLim');
    set(findobj(handles.MRIViewer,'type','axes'),'CLim',.9*clim{1})

    % --------------------------------------------------------------------
    function varargout = Darken_Callback(h, eventdata, handles, varargin)

    clim = get(findobj(handles.MRIViewer,'type','axes'),'CLim');
    set(findobj(handles.MRIViewer,'type','axes'),'CLim',1.1*clim{1})

    % --------------------------------------------------------------------
    function varargout = LittleEndian_Callback(h, eventdata, handles, varargin)
    % Flag for specification of machine format - default is little endian

    switch get(h,'checked')
        case 'on'
            set(h,'checked','off')
        otherwise
            set(h,'checked','on')
    end

Produced by color_mat2html, a customized BrainStorm 2.0 (Alpha) version of mat2html on Tue Nov 2 16:17:59 2004
Cross-Directory links are: ON