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Abstract #4361

A Fast Tissue Segmentation Algorithm Using ASL Fingerprint Timeseries

Luis Hernandez-Garcia1, Anish Lahiri2, Scott Peltier2, Jon Fredrik Nielsen2, and Benjamin Hampstead2
1FMRI Laboratory, University of Michigan, Ann Arbor, MI, United States, 2University of Michigan, Ann Arbor, MI, United States

Partial Volume effects (PVE) in ASL have been shown to lead to significant quantification errors. PVE in ASL fingerprinting data have not been previously investigated but are also likely to introduce significant errors in quantification, given their typically coarse resolution. A simple algorithm is presented to calculate tissue fraction maps from ASL MRF timeseries data without collection of additional anatomical images. These fraction maps can be used to implement partial volume corrections as well as identify tissue abnormalities.

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