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Abstract #3148

A Novel Method for Automatic Estimation of M0 Used by ASL CBF Quantification

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.