Meeting Banner
Abstract #1090

Comparison of the arterial-voxel discriminatory power of DSC-MRI signal features and creation of a framework for determining optimal thresholds

Rashed Sobhan1, Donnie Cameron1,2, and Glyn Johnson1
1Norwich Medical School, University of East Anglia, Norwich, United Kingdom, 2C.J. Gorter Centre for High Field MRI, Department of Radiology, Leiden University Medical Centre, Leiden, Netherlands

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here