Clinical adoption of DSC-MRI for brain cancer imaging is plagued by reproducibility concerns. To support and advance reproducible science for DSC-MRI, an anthropomorphic phantom is developed in order to benchmark post-processing pipelines and software platforms. In addition to this anthropomorphic phantom, the technical computation of relative cerebral blood volume (rCBV) is discussed since rCBV is not an absolute measurement in DSC-MRI. In summary, this DRO-based benchmark can then be used to characterize the accuracy of commonly employed DSC-MRI algorithms and clinical software.
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