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Abstract #3827

Differences in slow drift among echoes in multiband multiecho EPI data compromise TE-dependent analysis

Kun Lu1, Javier Gonzalez-Castillo 2, Matthew Middione3, Brice Fernandez4, Valur Olafsson5, Prantik Kundu6, Ajit Shankaranarayanan7, and Thomas Liu1

1Center for Functional Magnetic Resonance Imaging, University of California, San Diego, La Jolla, CA, United States, 2Laboratory of Brain and Cognition, Section on Functional Imaging Methods, National Institutes of Health, Bethesda, MD, United States, 3Applied Sciences Laboratory West, GE Healthcare, Menlo Park, CA, United States, 4Applications and Workflow, GE Healthcare, Munich, Germany, 5Neuroscience Imaging Center, University of Pittsburgh, Pittsburgh, PA, United States, 6Brain Imaging Center, Icahn Institute of Medicine at Mt. Sinai, New York, NY, United States, 7Applications and Workflow, GE Healthcare, Menlo Park, CA, United States

We recently observed differences in slow signal drift between multiple echoes in multiband multiecho EPI data. Such differences in drift compromise the TE dependence model and could impact the TE dependence analysis (e.g Multiecho Independent Component Analysis ME-ICA). We first designed a metric MEQA to quantitatively measure the observed drift differences, then investigated the effects of the drift differences on ME-ICA analysis.

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