Improved Spatial Resolution and Post-Processing for Myocardial Blood Flow Quantification in Humans using Steady-Pulsed Arterial Spin Labeling
Thomas Troalen 1 , Julien Pugnaire 1 , Thibaut Capron 1 , Benjamin Robert 2 , Monique Bernard 1 , and Frank Kober 1
Aix-Marseille Universit, CNRS, CRMBM
(Centre de Rsonance Magntique Biologique et Mdiacle)
UMR 7339, Marseille, France,
Healthcare France SAS, Saint-Denis, France
Arterial spin labeling (ASL) in the human heart is
challenging due to physiological noise. Steady-pulsed
ASL (spASL) under free-breathing had been proposed to
improve sensitivity. To improve robustness against
respiratory motion, we present an optimization of the
post-processing algorithm currently used for spASL.
These improvements include dedicated rigid motion
correction and a specific signal measurement algorithm.
With this new approach, a greater portion (80% versus
30% formerly) of the acquired data can be used for
regional perfusion assessment. This work is also a step
towards calculation of myocardial perfusion maps with
high spatial resolution using ASL.
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