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Abstract #2380

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

1 Aix-Marseille Universit, CNRS, CRMBM (Centre de Rsonance Magntique Biologique et Mdiacle) UMR 7339, Marseille, France, 2 Siemens 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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