Abstract #2714

Joint Slice-Selective Pulse Design for Segmented FLEET-EPI using a Differential Bloch Simulator and Conjugate Gradient-Optimal Control

Imam Ahmed Shaik¹, Mukund Balasubramanian^2,3, Avery J.L. Berman^4,5, Jonathan R. Polimeni^2,6,7, and William Grissom¹

¹Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, ²Harvard Medical School, Boston, MA, United States, ³Boston Children's Hospital,, Boston, MA, United States, ⁴Carleton University, Ottawa, ON, Canada, ⁵University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada, ⁶5Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital,, Charlestown, MA, United States, ⁷Harvard-MIT Division of Health Sciences and Technology,Massachusetts Institute of Technology, Cambridge, MA, United States

Synopsis

Keywords: Data Acquisition, fMRIMultishot EPI-based fMRI can achieve high spatial resolutions to resolve functional activity at the level of layers and columns, but suffers sensitivity to motion and phase changes between shots. Reordering the shots in a multislice stack so that each slice’s shots are acquired sequentially (VFA-FLEET-EPI) reduces this sensitivity but requires specialized RF pulses to maintain consistent signal between shots as longitudinal magnetization evolves. In this work we show that designing these pulses jointly using an autodiff optimal control algorithm yields more consistent signal across shots which reduces ghosting compared to VFA sinc and recursively designed SLR pulses.

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