David Dongsuk Shin1, Burak Ibrahim Ozyurt2, Thomas T Liu1
1Center for Functional MRI, University of California, San Diego, La Jolla, CA, United States; 2Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
A rapidly growing number of CBF measures are being collected both in clinical and research settings around the world. Here we present an online CBF database with an integrated analysis pipeline for CBF quantification (CBFDAP). To date, we have successfully processed and accumulated several hundred CBF datasets acquired with FAIR and OptPCASL protocols for a range of subject populations. The number of datasets is expected to grow rapidly as we begin to make the CBFDAP available to the general public. The CBFDAP provides an infrastructure for the easy upload, processing, storage, retrieval, and exploration of ASL-based CBF data.