Ognjen Zivojnovic1, Greg Zaharchuk2,
Ajit Shankaranarayan3
1Stanford University, Stanford, CA,
United States; 2Department of Radiology, Stanford University,
Stanford, CA, United States; 3Applied Sciences Laboratory - West,
GE Healthcare, Menlo Park, CA, United States
Calculating
quantitative CBF values based on ASL images requires knowledge of M0. Two
models exist for estimating its value, a blood based model that depends on
the M0 of CSF, and a tissue based model that requires the re-imaging of the
entire volume. This abstract presents a novel method for automatically
estimating M0 based on the blood model in order to take advantage of its
faster scan times compared to the tissue based model, as well as to remove
human inconsistencies in selecting the area from which the estimate is made.