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- function DVH = dvh(dose,mask,d_bins)
- % A dose volume histogram is calculated for a region of interest (roi)
- % using dose bins specified by the user.
- %
- % Inputs: dose = dose distribution
- % mask = mask of zeros and ones that specifies the roi
- % d_bins = dose bin boundaries, must be a vector
- %
- % Output: d_hist = dose volume histogram defined as:
- % d_hist(j) = percentage of voxels in the region of interested
- % receiving a dose of d_bins(j) or greater.
- % ensure that d_bins is a vector
- if prod(size(d_bins)) > length(d_bins)
- error('Third input argument must be a vector.');
- end
- % ensure that the mask is just ones and zeros
- if ~isempty(find(mask~=0 & mask~=1))
- error('Mask must consist of zeros and ones only.');
- end
- % ensure that the mask and the dose matrix are the same size
- if size(dose,1) ~= size(mask,1) | size(dose,2) ~= size(mask,2) ...
- | size(dose,3) ~= size(mask,3)
- error('The dose matrix and the mask must be the same size.');
- end
- Nbins = length(d_bins); % number of bins in the dvh
- Nvoxels = sum(mask(:)); % number of voxels in the mask
- d_hist = zeros(1,length(d_bins));
- DVH = zeros(size(d_hist));
- ind = find(mask == 1); % indices that lie in the roi
- if ~isempty(ind)
- dose_vector = dose(ind); % vector of dose
- d_hist = histc(dose(ind),d_bins); % create the differential histogram
- d_hist = 100*d_hist/length(ind); % renomalize
- DVH = flipud(cumsum(flipud(d_hist)));
- end
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