Abstract #2702

Reducing the number of virtual observation points when utilizing populations of body models

Ehsan Kazemivalipour^1,2, Markus W. May^3,4, Jason P. Stockmann^1,2, Robert L. Barry^1,2, Boris Keil^5,6, Lawrence L. Wald^1,2,7, and Bastien Guerin^1,2

¹A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, ²Harvard Medical School, Boston, MA, United States, ³Erwin L. Hahn Institute for MRI, University Duisburg-Essen, Essen, Germany, ⁴High-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany, ⁵Institute of Medical Physics and Radiation Protection, Department of Life Science Engineering, Mittelhessen University of Applied Sciences, Giessen, Germany, ⁶Center for Mind, Brain and Behavior (CMBB), Philipps-University Marburg, Marburg, Germany, ⁷Harvard-MIT Division of Health Sciences Technology, Cambridge, MA, United States

Synopsis

Keywords: RF Pulse Design & Fields, RF Pulse Design & FieldsWe introduce a VOP compression scheme using “stacked E-fields” followed by the removal of linear redundancies with a positive semi-definite convex optimization problem. This method provides a lower VOP-count at a constant SAR overestimation factor compared to three other approaches when applied to 7 Tesla 8-channel and 16-channel arrays loaded with three body models, each placed at three z-positions. The “stacked E-field” method yielded a compression factor of 0.0124% and 0.0039% for the 8-channel and 16-channel arrays, respectively, and 61% and 6% fewer VOPs than the standard VOP approach that does not remove linear redundancies.

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