To estimate brain perfusion from DSC-MRI, tissues’ arterial inputs are detected considering different features of the concentration time curve (CTC) collectively. No study has explored the individual AV-discriminatory power and optimal tissue-voxel-elimination thresholds for these features. Here, the area-under-the-receiver-operating-characteristic(ROC)-curves evaluated the former, while ROC cut-offs gave the latter. Three features were more effective than others: their optimal thresholds discarded tissue-voxels with high specificity and sensitivity. The knowledge of individual AV-discriminatory powers will allow Radiologists to make more informed choices while assessing the arterial candidacy of a CTC; other sites can use this threshold detection technique as a general framework.
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