Consider this MATLAB data file data3D.mat which contains a 3-dimensional $41\times 61\times 16$ matrix of the brain of a rat. Write a MATLAB script that creates and saves a graph of all $X-Y$ information for the 16 slices along the z-axis and delineates the boundary of the tumor in all of the subplots and generates a figure with the tumor boundary highlighted, like the following graph,
Here is an implementation: makeSubplotsWithTumorBoundary.m,
close all;
load('./data3D.mat');
nrow = round(sqrt(length(data(1,1,:))));
ncol = nrow;
marginTop = 0.06;
marginBottom = 0.12;
marginLeft = 0.08;
marginRight = 0.1;
subplotInterspace = 0.03; % space between subplots
subplotWidth = (1-marginLeft-marginRight)/ncol - subplotInterspace;
subplotHeight = (1-marginTop-marginBottom)/nrow - subplotInterspace;
mainPlotPositionX = 0.05;
mainPlotPositionY = 0.08;
mainPlotWidth = 1 - marginRight - mainPlotPositionX;
mainPlotHeight = 1 - 0.05 - mainPlotPositionY;
mainPlotTitleFontSize = 12;
mainPlotAxisFontSize = 12;
subPlotFontSize = 10;
colorbarPositionX = 1-marginRight; %+subplotInterspace; % x position of colorbar
%colorbarPositionY = 1-marginBottom; % x position of colorbar
colorbarWidth = 0.03;
colorbarHeight = nrow*(subplotHeight+subplotInterspace)-subplotInterspace; %1-marginTop-marginBottom-subplotInterspace;
colorbarFontSize = 13;
ColorLimits = [0,max(max(max(data(:,:,:))))];
figure( 'Position', [0, 0, 900, 1350] ...
..., 'visible','off' ...
..., 'Color','none' ...
);
mainPlot = axes( 'position' ...
, [mainPlotPositionX mainPlotPositionY mainPlotWidth mainPlotHeight] ...
, 'Xlim',[0 1], 'Ylim',[0 1] ...
, 'Color', 'none' ...
);
mainPlot.XTick = [];
mainPlot.YTick = [];
mainPlot.XAxis.Visible = 'off';
mainPlot.YAxis.Visible = 'off';
mainPlot.XLabel.Visible = 'on';
mainPlot.YLabel.Visible = 'on';
mainPlot.XLabel.String = 'Voxel Number in X Direction';
mainPlot.YLabel.String = 'Voxel Number in Y Direction';
mainPlot.Title.String = ['A beautiful design of ',sprintf('%0.1f',nrow),' x ',sprintf('%0.1f',ncol),' subplots using MATLAB'];
mainPlot.XLabel.FontSize = mainPlotAxisFontSize;
mainPlot.YLabel.FontSize = mainPlotAxisFontSize;
mainPlot.Title.FontSize = mainPlotTitleFontSize;
for irow = nrow:-1:1
for icol = 1:ncol
sliceNumber = (nrow-irow)*nrow+icol;
subPlot = axes( 'position', [ ...
(icol-1)*(subplotInterspace+subplotWidth) + marginLeft ...
(irow-1)*(subplotInterspace+subplotHeight) + marginBottom ...
subplotWidth ...
subplotHeight ...
] ...
);
imagesc(data(:,:,sliceNumber),ColorLimits);
hold on;
% plot the boundaries
Bcell = getBoundary(data(:,:,sliceNumber)); % get the boundaries of the tumor regions
for ib = 1:length(Bcell)
plot( Bcell{ib}(:,2) ...
, Bcell{ib}(:,1) ...
, 'color', 'red' ...
, 'linewidth', 4 ...
)
end
subPlot.FontSize = subPlotFontSize;
if icol ~= 1
subPlot.YTickLabels = [];
end
if irow ~= 1
subPlot.XTickLabels = [];
end
subPlot.Title.String = ['z = ', num2str(sliceNumber)];
subPlot.CLim = ColorLimits;
end
end
axes(mainPlot);
caxis(ColorLimits);
cbar = colorbar;
ylabel(cbar,'Number of Tumor Cells');
cbar.Position = [ colorbarPositionX ...
marginBottom ...
colorbarWidth ...
colorbarHeight ...
];
cbar.FontSize = colorbarFontSize;
saveas(gcf,'subplotsWithTumorBoundaries.png')
Note that this sctipt calls another function getBoundary.m,
function BoundaryCellArray = getBoundary(InputData)
InputDataBinary = InputData;
InputDataBinary(InputData~=0) =1;
BoundaryCellArray = bwboundaries(InputDataBinary);
end
