Abstract #2711
ATLES: AuTomatic Labeling efficiency EStimation
Marco Battiston 1 , Marco Castellaro 1 , Carlo Boffano 2 , Maria Grazia Bruzzone 2 , and Alessandra Bertoldo 1
1
Department of Information Engineering,
University of Padova, Padova, Italy,
2
Neuroradiology
Department, IRCCS Foundation Neurological Institute
"C.Besta", Milano, Italy
Labeling efficiency is a critical parameter in pseudo
Continuous Arterial Spin Labeling since it directly
scales quantitative estimates of Cerebral Blood Flow,
but is subject to several sources of variability, that
make difficult its assessment with numerical
simulations. Phase Contrast MRI offers a way to estimate
labeling efficiency in vivo. In this study a fully
automated tool for labeling efficiency estimation is
proposed, and tested on a group of healthy subjects. It
provides labeling efficiency estimates in agreement with
commonly accepted values for pCASL, and improves a
previous method allowing reproducible analysis, useful
in quantitative comparisons between different studies.
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