We propose an application of the open-source whitematteranalysis software which moves a step towards the goal of reproducible and quantitative evaluation of anatomical tracts reconstruction by dMRI tractography. We quantify the tractogram in 11 patients suffering from brain tumours with four different algorithms, perform the automated spectral clustering procedure implemented in the software and evaluate simple metrics to compare the tractograms to an available anatomically curated atlas. Independently from the tumour position, the four investigated algorithms failed to properly reconstruct certain anatomical tracts. Evaluating the overall streamline representation of all tracts, the iFOD2 algorithm was found to perform best.
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