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This routine is buggy in the part executed when passing more than one structure in structsV.
Proposed changes:
1) strBmletInd index should be used instead of structNum
2) computing indexS = planC{end} was missing.
3) influenceM = spalloc(numVoxels, numPBs, maxnnz), where numVoxels = prod(getUniformScanSize(planC{indexS.scan}(getStructureAssociatedScan(structsV(1))))) was missing.
BTW, this routine needs to be further debugged in the final part where the sparse influence matrix is populated.
Indeed, I observed unespected discrepancies when computing the dose of one ROI (using getSingleGlobalInfluenceM()) vs. extrapolating the very same ROI's dose from the global dose computed over more ROIs.
These are very small discrepacies, which are not expected, I double checked the correct sampling rate was used on both tests.
Please debug and fix the cause. I am still investigating the cause.
P.S. could you accept my invitation to join the CERR google group (my email: alfonsoisola@gmail.com).
Regards, Alfonso
Regards.
Fixed a typo in the committed change. Sorry.
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This routine is buggy in the part executed when passing more than one structure in structsV.
Proposed changes:
BTW, this routine needs to be further debugged in the final part where the sparse influence matrix is populated (lines 86-117). Indeed, I observed unexpected discrepancies when computing the dose of "only one" ROI (i.e., using getSingleGlobalInfluenceM()) vs. extrapolating the very same ROI's dose from the global dose computed over more multiple ROIs.
These are very small discrepacies, which are not expected, I double checked the correct sampling rate was used on both tests.
Please debug and fix the cause. I am still investigating the cause.
P.S. could you accept my invitation to join the CERR google group (my email: alfonsoisola@gmail.com)?.
Regards, Alfonso
Regards.