pet_plot_brainlv.m

绝对经典,老外制作的功能强大的matlab实现PLS_TOOBOX

%PET_PLOT_BRAINLV Plot Brainlv
%
%   Usage:  pet_plot_brainlv(PLSresultFile, lv_idx, new_fig)
%
%   PET_PLOT_BRAINLV plot the brainlv into BlvAxes, and colorbar into
%	ColorBar Axes. Both axes are either created by pet_result_ui.m
%	or creat them if new_fig is TRUE
%
%   See also PET_RESULT_UI
%

%   Called by pet_result_ui
%
%   I (ViewBootstrapRatio) - if 0, plot blv; if 1, plot compare
%   I (PLSresultFile) - file contains the PLS results for pet scan
%   I (grp_idx) - Group index of brainlv to be displayed
%   I (lv_idx) - LV index of brainlv to be displayed
%   I (new_fig) - show images on a new figure
%   I (behav_idx) - used when this code is called by pet_plot_datamatcorrs
%                   input empty in other cases
%
%   Modified on 04-OCT-2002 by Jimmy Shen
%   Modified on 17-JUN-2003 by Jimmy Shen, and add 'newcolor'
%   Modified on 25-Jun-2003, and add prevent_num_lower_color_0
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

function pet_plot_brainlv(ViewBootstrapRatio, PLSresultFile, ...
	grp_idx, lv_idx, new_fig, behav_idx, cluster_info, update, isstruct)

    if ~exist('isstruct','var')
       isstruct = 0;
    end

    if (new_fig)
        bg_img = getappdata(gcbf,'BackgroundImg');
        rot_amount = getappdata(gcbf,'RotateAmount');

        if ViewBootstrapRatio == 1
           blv = getappdata(gcbf,'BSRatio');
        elseif ViewBootstrapRatio == 2
           blv = getappdata(gcbf,'BLVData');
           bs = getappdata(gcbf,'BSRatio');
	elseif ViewBootstrapRatio == 0
           blv = getappdata(gcbf,'BLVData');
	end
    else
        bg_img = getappdata(gcf,'BackgroundImg');
        rot_amount = getappdata(gcf,'RotateAmount');

        if ViewBootstrapRatio == 1
           blv = getappdata(gcf,'BSRatio');
        elseif ViewBootstrapRatio == 2
           blv = getappdata(gcf,'BLVData');
           bs = getappdata(gcf,'BSRatio');
	elseif ViewBootstrapRatio == 0
           blv = getappdata(gcf,'BLVData');
	end
    end

    if ~isempty(behav_idx)			% called from datamatcorrs plot
        blv = blv{grp_idx, behav_idx};
    end

    if isempty(bg_img)
       no_background_image = 1;
    else
       no_background_image = 0;
    end

%    load('pet_map');				% newcolor: just commented

    if ~isempty(behav_idx)			% called from datamatcorrs plot

        load(PLSresultFile,'num_cond_lst','dims','newcoords','s','voxel_size','origin','behavname');
        num_behav = length(behavname);

    else
        load(PLSresultFile,'num_cond_lst','dims','newcoords','s','voxel_size','origin');
    end



    %  for orient
    %
    if isappdata(gcf, 'BSRatioCoords') | isappdata(gcf, 'BLVCoords')
       dims = getappdata(gcf, 'STDims');
       voxel_size = getappdata(gcf, 'STVoxelSize');
       origin = getappdata(gcf, 'STOrigin');

       if ViewBootstrapRatio
          newcoords = getappdata(gcf, 'BSRatioCoords');
       else
          newcoords = getappdata(gcf, 'BLVCoords');
       end
    else					% from init
       origin_coords = newcoords;
       setting = getappdata(gcf,'setting');
%       orient_pattern = [];
       origin_pattern = [];

       if ~isempty(setting) & isfield(setting,'orient')
          voxel_size = setting.orient.voxel_size;
          dims = setting.orient.dims;
          origin = setting.origin;
          newcoords = setting.orient.coords;
          origin_pattern = setting.orient.pattern;

          setappdata(gcf,'VoxelSize',voxel_size);
          setappdata(gcf,'Dims',dims);
          setappdata(gcf,'Origin',origin);

          setappdata(gcf,'STVoxelSize',voxel_size);
          setappdata(gcf,'STDims',dims);
          setappdata(gcf,'STOrigin',origin);
          setappdata(gcf,'BLVCoords',newcoords);
          setappdata(gcf,'origin_coords',origin_coords);
          setappdata(gcf,'origin_pattern',origin_pattern);

          if ViewBootstrapRatio
             setappdata(gcf,'BSRatioCoords',newcoords);
          end
       end
    end

if 0	% now implement in click orient
    %  apply orient_pattern here
    %
    orient_pattern = getappdata(gcf,'orient_pattern');

    if ~isempty(orient_pattern)
       old_coord = getappdata(gcf,'origin_coords');
       new_coord = getappdata(gcf,'BLVCoords');
       dims = getappdata(gcf,'STDims');

       if exist('blv','var')
          blv = rri_xy_orient_data(blv, old_coord, new_coord, dims, orient_pattern);
       end

       if exist('bs','var')
          bs = rri_xy_orient_data(bs, old_coord, new_coord, dims, orient_pattern);
       end
    end
end



    num_conditions = num_cond_lst(1);

    num_slices = dims(4);
    slice_idx = [1:num_slices];

    if grp_idx
       num_lv = num_conditions;
    else
       num_lv = size(blv,2);
    end

    brainlv = blv(:,lv_idx);

    if ViewBootstrapRatio == 1
       h = findobj(gcf,'Tag','BSThreshold'); thresh = str2num(get(h,'String'));
       h = findobj(gcf,'Tag','MaxRatio'); max_blv = str2num(get(h,'String'));
       h = findobj(gcf,'Tag','MinRatio'); min_blv = str2num(get(h,'String'));
    elseif ViewBootstrapRatio == 2
       h = findobj(gcf,'Tag','Threshold'); thresh = str2num(get(h,'String'));
       h = findobj(gcf,'Tag','MaxValue'); max_blv = str2num(get(h,'String'));
       h = findobj(gcf,'Tag','MinValue'); min_blv = str2num(get(h,'String'));

       h = findobj(gcf,'Tag','BSLVIndexEdit'); bs_lv_idx = str2num(get(h,'String'));
       h = findobj(gcf,'Tag','BSThreshold'); bs_thresh = str2num(get(h,'String'));

       bs = bs(:, bs_lv_idx);
       bs_strong = zeros(size(bs));
       bs_idx = [find(bs <=- bs_thresh); find(bs >= bs_thresh)];
       bs_strong(bs_idx) = 1;
       brainlv = brainlv .* bs_strong;
    elseif ViewBootstrapRatio == 0
       h = findobj(gcf,'Tag','Threshold'); thresh = str2num(get(h,'String'));
       h = findobj(gcf,'Tag','MaxValue'); max_blv = str2num(get(h,'String'));
       h = findobj(gcf,'Tag','MinValue'); min_blv = str2num(get(h,'String'));
    end

    too_large = find(brainlv > max_blv); brainlv(too_large) = max_blv;
    too_small = find(brainlv < min_blv); brainlv(too_small) = min_blv;

    if mod(rot_amount,2)
        img_height = dims(2);		% rows - after 90 or 270 rotation
        img_width  = dims(1);		% by default, 90 rotation
    else
        img_height = dims(1);		% rows
        img_width  = dims(2);
    end

    %  display the images
    %
    if (new_fig)
        [axes_hdl,colorbar_hdl] = pet_create_newblv_ui;
    else
        axes_hdl = getappdata(gcf,'BlvAxes');
        colorbar_hdl = getappdata(gcf,'Colorbar');	% newcolor: was commented
    end

    axes(axes_hdl);

    rows = dims(1);
    cols = dims(2);
    slices = dims(4);

    % create the appropriate colormap
    %
    % cmap = set_colormap(max_blv, min_blv, thresh);
   
    bg_values = [1 1 1];
    num_blv_colors = 25;
    brain_region_color_idx = 51;
    first_lower_color_idx = 101;
    first_upper_color_idx = 126;

    % set up the colormap for the background 
    %
    bg_brain_values = [0.54 0.54 0.54];
    if (no_background_image),
       bg_cmap = ones(100,1)*bg_brain_values;	% the brain regions
    else
       bg_cmap = bone(140);
       bg_cmap = bg_cmap(1:100,:);
    end;


    %  colormap entries
    %     	 1 - 100    : for the brain regions (background) image
    %           101 - 125    : for the negative blv values below threshold
    %           126 - 150    : for the positive blv values above threshold
    %     	  151       : for the non-brain regions

    cmap = zeros(151,3);
    jetmap = jet(64);
    cmap(1:100,:) = bg_cmap;			% the brain regions
    cmap(101:125,:) = jetmap([1:25],:);		% the negative blv values
    cmap(126:150,:) = jetmap([36:60],:);	% the positive blv values
    cmap(end,:) = bg_values;			% the nonbrain regions


    %  set up the colormap for the display colorbar
    %
    cbar_size = 100;
    cbar_map = ones(cbar_size,1) * bg_brain_values; 
    cbar_step = (max_blv - min_blv) / cbar_size;

    %  prevent_num_lower_color_0
    %
    if (abs(min_blv) - thresh) < cbar_step & (abs(min_blv) - thresh) ~= 0
        cbar_size = ceil((max_blv - min_blv) / (abs(min_blv) - thresh));
        cbar_map = ones(cbar_size,1) * bg_brain_values;
        cbar_step = (max_blv - min_blv) / cbar_size;
    end
    if (abs(max_blv) - thresh) < cbar_step & (abs(max_blv) - thresh) ~= 0
        cbar_size = ceil((max_blv - min_blv) / (abs(max_blv) - thresh));
        cbar_map = ones(cbar_size,1) * bg_brain_values;
        cbar_step = (max_blv - min_blv) / cbar_size;
    end

    if cbar_step ~= 0
%       num_lower_color = round((abs(min_blv) - thresh) / cbar_step);

      if max_blv > -abs(thresh)
         num_lower_color = round((abs(min_blv) - thresh) / cbar_step);
      else
         num_lower_color = round((abs(min_blv) - abs(max_blv)) / cbar_step);
      end

       if round(64 / 25 * num_lower_color) > 0
          jetmap = jet(round(64 / 25 * num_lower_color));
          cbar_map(1:num_lower_color,:) = jetmap(1:num_lower_color,:);	
       end

%       num_upper_color = round((max_blv - thresh) / cbar_step);

      if min_blv < abs(thresh)
         num_upper_color = round((max_blv - thresh) / cbar_step);
      else
         num_upper_color = round((max_blv - min_blv) / cbar_step);
      end

       if round(64 / 25 * num_upper_color) > 0
          jetmap = jet(round(64 / 25 * num_upper_color));
          first_jet_color = round((36 / 64) * size(jetmap,1));
          jet_range = [first_jet_color:first_jet_color+num_upper_color-1];
          cbar_map(end-num_upper_color+1:end,:) = jetmap(jet_range,:);
       end

       % Create the image slices in which voxels are set to be within certain range
       %
%       lower_interval = (abs(min_blv) - thresh) / (num_blv_colors-1);
 %      upper_interval = (max_blv - thresh) / (num_blv_colors-1);

      if max_blv > -abs(thresh)
         lower_interval = (abs(min_blv) - thresh) / (num_blv_colors-1);
      else
         lower_interval = (abs(min_blv) - abs(max_blv)) / (num_blv_colors-1);
      end

      if min_blv < abs(thresh)
         upper_interval = (max_blv - thresh) / (num_blv_colors-1);
      else
         upper_interval = (max_blv - min_blv) / (num_blv_colors-1);
      end

       disp_blv = zeros(1,length(newcoords)) + brain_region_color_idx;
       lower_idx = find(brainlv <= -thresh);
       blv_offset = brainlv(lower_idx) - min_blv; 

       if lower_interval ~=0
          lower_color_idx = round(blv_offset/lower_interval)+first_lower_color_idx;
       else
          lower_color_idx = ones(size(blv_offset)) * first_lower_color_idx;
       end

       disp_blv(lower_idx) = lower_color_idx;

       upper_idx = find(brainlv >= thresh);
       blv_offset = max_blv - brainlv(upper_idx); 

       if upper_interval ~=0
          upper_color_idx = num_blv_colors - round(blv_offset/upper_interval);
       else
          upper_color_idx = num_blv_colors * ones(size(blv_offset));
       end

       upper_color_idx = upper_color_idx + first_upper_color_idx - 1;
       disp_blv(upper_idx) = upper_color_idx;
    else
       disp_blv = zeros(1,length(newcoords)) + brain_region_color_idx;

       if abs(min_blv) < 1e-6
          max_blv = min_blv + eps;
       else
          max_blv = min_blv + abs(min_blv)*1e-9;
       end
    end

    % get non_cluster_coords
    %
    if isempty(cluster_info)
       cluster_idx = newcoords;
    else
       cluster_idx = cluster_info.data{1}.idx;
    end

    if isequal(newcoords, cluster_idx)
       non_cluster_coords = [];
    else
       [tmp cluster_coords] = intersect(newcoords,cluster_idx);
       non_cluster_coords = ones(1,length(newcoords));
       non_cluster_coords(cluster_coords) = 0;
       non_cluster_coords = find(non_cluster_coords);
    end

    if (no_background_image),
       non_brain_region_color_idx = size(cmap,1);
       img = zeros(1,rows*cols*slices) + non_brain_region_color_idx;

       disp_blv(non_cluster_coords) = brain_region_color_idx;

       img(newcoords) = disp_blv;
       img = reshape(img,[rows cols 1 slices]);