The Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN) is a NIH-funded project that aims to collect and share CBF data acquired using a magnetic resonance imaging (MRI)-based perfusion technique called arterial spin labeling (ASL).
The overall goal of this project is to create a comprehensive database of CBF measures that will allow investigators to share, analyze, mine, and interpret cerebral blood flow measures from multiple studies and sites. The size and diversity of the combined data would greatly facilitate efforts to extend our understanding of how CBF varies with disease, age, race, ethnic origin, and medical treatment.
CBFBIRN provide several tools to facilitate the acquisition and sharing of CBF data via this site.
- Distribution of CBFBIRN ASL pulse sequence that runs on multiple GE software versions (12x, 14x, 15x, 20x and 22x). This sequence supports both FAIR and PCASL protocols.
- The CBF Database and Analysis Pipeline (CBFDAP) that provides (a) easy upload of ASL data to the database (b) automated post processing including SENSE reconstruction, field map correction and CBF quantification (c) visualization and retrieval of processed data.