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Abstract #3635

Repeatability of Independent Component Analysis Applied to Dynamic Susceptibility Contrast MRI in Newly Diagnosed Brain Tumor Patients with Two Baseline Imaging Scans

Peter S. LaViolette1, Mitchell Daun2, Melissa A. Prah1, Kourosh Jafari-Khouzani3, Pavlina Polaskova3, Elizabeth R. Gerstner4, Steven M. Stufflebeam3, Kathleen M. Schmainda1

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States; 2Neurology, Medical College of Wisconsin, Milwaukee, WI, United States; 3Radiology, Massachusetts General Hospital, Charlestown, MA, United States; 4Neurology, Massachusetts General Hospital, Boston, MA, United States

Independent component analysis applied to DSC perfusion data separates arterial and venous voxels based on the temporal dynamics of contrast agent perfusion. This study varies the number of ICA components modeled to determine which number generates the most repeatable arterial and venous maps in 31 patients who underwent two identical DSC imaging sessions days apart. We compare the repeatability of the resulting arterial and venous maps both across different numbers of components modeled, and between the simultaneously acquired spin-echo and gradient-echo acquisitions. We find that modeling 3 components results in highly repeatable arterial and venous maps, and that ICA maps generated from GE data are more repeatable than SE.