Question about function matRad_robustnessIndex
myy-imp opened this issue · 3 comments
matRad_robustnessIndex.m,
% evaluate robustness cube
meanDoseCrit = abs(meanCube-refDose)/refDose100/meanDoseThreshold;
stdCrit = stdCube/refDose100/stdThreshold;
robCube = sqrt(meanDoseCrit.^2 + stdCrit.^2).*doseMask;
% compute robustness pass rate
numOfPassRobustness = sum((robCube<=1).*~isnan(targetMask),'all');
robPassRate = 100 * numOfPassRobustness / sum(~isnan(targetMask),'all');
Why calculate robustness cube in this way - sqrt(meanDoseCrit.^2 + stdCrit.^2) ？Is there any article I can find this kind of calculation.
And why robCube should smaller than 1？
Thank you very much! Looking forward to your reply!
I think you are refering to the function in #561 ? We have not reviewed this one yet, so I can't really comment on that one yet. @remocristoforetti will maybe look into this PR, maybe @acsevillam will also see this and can reply.
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