Abstract #2203

Optimizing Repeatability of Independent Component Analysis Applied to Dynamic Susceptibility Contrast MRI in 68 Brain Tumor Patients with Five Repeated Scans.

Peter S. LaViolette¹, Mitchell Daun², Alexander D. Cohen³, Jennifer Connelley², Kathleen M. Schmainda¹

¹Radiology, Medical College of Wisconsin, Milwaukee, WI, United States; ²Neurology, Medical College of Wisconsin, Milwaukee, WI, United States; ³Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States

Independent component analysis applied to DSC perfusion data allows the separation of arterial and venous perfusion. This study varies the number of ICA components modeled to determine which number generates the most repeatable arterial and venous maps. 68 patients with 5 repeated scans on the same scanner were compared. We conclude the modeling 3 components reliably generates arterial and venous maps.