RF shimming strategy for an open 60‐channel RF transmit 7T MRI head coil for routine use on the single transmit mode
Year: 2025
Type: article
Abstract: Purpose To develop an RF shimming approach for operating the 2 nd Generation Tic Tac Toe RF Coil System (60 transmit channels integrated with 32-channel receive insert) for routine use in 7T neuro MRI on the single transmit mode. Methods RF simulations were performed and used to develop non-subject-specific RF shim cases over three anatomically detailed head models: adult male, adult female, and child female. Multi-ROI shimming strategies were developed and implemented. B 1 + maps and in-vivo images were acquired on the single transmit mode of a 7T scanner using the RF shim cases derived from the computer simulations. Results The availability of 60 transmit channels enables more control over RF power efficiency, SAR efficiency, and B 1 + homogeneity using RF shimming. On the single transmit mode, the 2 nd Generation Tic Tac Toe RF Coil System consistently provides homogeneous B 1 + field distribution with extended coverage into the temporal lobes, cerebellum, reaching all the way to C5-C6. Safe levels of SAR are also achieved. Conclusion By using a non-subject specific RF shimming approach derived from computer simulations, the 2 nd Generation Tic Tac Toe RF Coil System allows for robust, routine neuroimaging (> 1750 in-vivo scanning sessions over the past 28 months) at 7T in single transmit mode.
Source: Magnetic Resonance in Medicine
DOI: 10.1002/mrm.30563
Authors: Andrea N. Sajewski, Tales Santini, Anthony DeFranco, Jacob Berardinelli, Hecheng Jin, Jinghang Li, Cong Chu, Jeremy J. Berardo, Tamer S. Ibrahim
Institution: University of Pittsburgh
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,680
Funders: National Science Foundation, University of Pittsburgh, National Institutes of Health, Center for Research Computing, University of Pittsburgh, National Institute on Aging, National Institute of Mental Health, Division of Advanced Cyberinfrastructure, Office of Research Infrastructure Programs, National Institutes of Health, National Science Foundation Graduate Research Fellowship Program
Awards: SARS-CoV-2 and Precursors of Alzheimer's Disease and Related Dementias: An Ultrahigh Field (7T) MRI Study in a Diverse Multinational Cohort, G1131860982, G1236977141, G1370689234, Imaging Advancements in Small Vessel and CSF Flow Pathophysiology of Pre-clinical Alzheimer's Disease, G2592393619, G3025648356, G3295005934, G3384453195, G3938010021, High-Throughput Computing for Genomics and Bioinformatics Research, MRI: Acquisition of Cutting-Edge GPU and MPI Nodes for the Interdisciplinary Pitt Center for Research Computing, G5683817866, G642779400, G719885452, G7218924412, Graduate Research Fellowship Program (GRFP), G9000041358, G9000102600
OpenAlex ID: W4410518260
