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
1FMRI Laboratory, University of Michigan, Ann Arbor, MI, United States, 2University of Michigan, Ann Arbor, MI, United States
The algorithm presented here can correctly identify tissue type fractions in brain tissue from ASL fingerprints.
Canonical time courses resulting from clustering algorithm (left). The corresponding maps are shown on the right. These were calculated by linear regression of the canonical maps from the raw data.
Fractional maps obtained from two subjects. Subject 2 showed significantly enlarged ventricles and grey matter atrophy.
