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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