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Abstract #2191

Improved Quantification for Steady-Pulsed ASL Perfusion Imaging

NAM GYUN LEE1, Ahsan Javed2, Terrence R. Jao1, and Krishna S. Nayak2

1Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 2Electrial Engineering, University of Southern California, Los Angeles, CA, United States

Steady-pulsed ASL (spASL) provides high labeling efficiency and is appropriate for organs with highly pulsatile blood supply (e.g. myocardium), but quantification remains a major challenge. Here, we describe a method for quantifying tissue blood flow in spASL based on a numerical solution of the Bloch equations with flow effects. The exact acquisition timing, including irregularities generated by heart rate variability, is incorporated in this formalism. Dictionary-based quantification of blood flow is demonstrated using myocardial spASL data from healthy swine at rest.

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