Meeting Banner
Abstract #0617

Assessing Arterial Spin Labeled Perfusion MRI as an Early-Alzheimers Disease Marker Using the ADNI 2 Data

Ze Wang1, Sandhitsu Das2, David Wolk3, John A. Detre3

1Psychiatry, University of Pennsylvania, Philadelphia, PA, United States; 2Radiology, University of Pennsylvania, Philadelphia, PA, United States; 3Neurology, University of Pennsylvania, Philadelphia, PA, United States

Noninvasively measuring the quantitative blood flow, ASL perfusion MRI can potentially be used as marker for progressive neurodegenerative disease like AD. Using the Alzheimers Disease Neuroimaging Initiative ASL data, we showed the first evidence of the sensitivity of ASL CBF to prodromal and early AD in a multi-site context; ASL CBF appeared to decrease inversely with degree of impairment which is consistent with prior work with FDG PET.

Keywords

adaptive adjacent aging analyzed appeared appears arterial assess assessed assessing automatically bars basic blood brain central cerebral cleaned cleaning clinical cognitive cohort consistent context controls converged corrected cost courses coverage cross decrease decreased defined degree derived described differentiated disease early either elderly error errors examined exception excluded extract findings flow function generated global gradually grants head heterogeneous house identified impairment improved included individual initial initiative inversely ionizing isotropic iteration iterations john labeled landau late maps marker materials matrix measure measured meta mild model motion neurobiology neurology nuisance opportunity outliers package partial patients perfusion poor population potential practice preprocessed press previously prior procedure procedures processing product proportion proposed proven providing psychiatry quality quantitative radiation radiology related remaining representative resolution respectively revealed sample sensitive sensitivity sequential series severity significantly site slices software space spectrum spin stages strategies structural subgroups subject subjects support supported table tips took track unusable utility variations volume volumes whole