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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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