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Abstract #2330

ICA cleanup for improved SNR in arterial spin labeling perfusion MRI

Xuetao Hao1, Jan Petr2, Aart JJ Nederveen3, John Wood4, Danny JJ Wang1, Henk-Jan Mutsaerts3, and Kay Jann1

1USC Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine at USC, University of Southern California, Los Angeles, CA, United States, 2Institute of Radiopharmaceutical cancer research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 3Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, Netherlands, 4Cardiology and Radiology, Children's Hospital of Los Angeles, Los Angeles, CA, United States

We evaluate the use of Independent Component Analysis (ICA) to separate physiological and other noise from Arterial Spin Labeling (ASL) perfusion MRI as has been shown for BOLD fMRI. We show that this approach improves tSNR and cerebral blood flow (CBF) quantification in a cohort of healthy young controls and a group of children with sickle cell disease.

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