Reproducible B0 shim matrix calibration at 7T and dynamic range analysis of spherical harmonics for residual compensation

Motivation: Adequate B0 shimming of deep brain regions at 7T using 3rd order shims. Goal(s): Reproduce B0 shim matrix calibration after hardware replacement and estimate possible compensation of residual fields in vivo. Approach: Calibration matrix of the 3rd order B0 shimming system was measured after replacement of the gradient coil. Results were compared with previous calibration. Whole-brain and ROI-specific spherical harmonic decompositions of B0 maps were performed after optimized whole-brain shimming. Results: Shimming calibration matrices could be reproduced with high accuracy on the new hardware. Residual B0 inhomogeneity could potentially be improved with existing shimming hardware. Impact: B0 shimmming calibration matrix is well reproducible on a 7T system equipped with 3rd order shim coils using single and multi-channel receiver coil configurations. Residual B0 inhomogeneity after optimized whole-brain shimming could be potentially improved using available shimming hardware.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/3943
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reproducible B0 shim matrix calibration at 7T and dynamic range analysis of spherical harmonics for residual compensation

Grit Hein, Martin J. Herrmann, Matthias Gamer, István Homolya et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Structural Health Monitoring Techniques
article

Reproducible B0 shim matrix calibration at 7T and dynamic range analysis of spherical harmonics for residual compensation

Grit Hein, Martin J. Herrmann, Matthias Gamer, István Homolya, Yun Shang, Maxim Terekhov, Wolfgang Schreiber, Izabell Jaro
article en

Abstract

Motivation: Adequate B0 shimming of deep brain regions at 7T using 3rd order shims. Goal(s): Reproduce B0 shim matrix calibration after hardware replacement and estimate possible compensation of residual fields in vivo. Approach: Calibration matrix of the 3rd order B0 shimming system was measured after replacement of the gradient coil. Results were compared with previous calibration. Whole-brain and ROI-specific spherical harmonic decompositions of B0 maps were performed after optimized whole-brain shimming. Results: Shimming calibration matrices could be reproduced with high accuracy on the new hardware. Residual B0 inhomogeneity could potentially be improved with existing shimming hardware. Impact: B0 shimmming calibration matrix is well reproducible on a 7T system equipped with 3rd order shim coils using single and multi-channel receiver coil configurations. Residual B0 inhomogeneity after optimized whole-brain shimming could be potentially improved using available shimming hardware.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 76%
Structural Health Monitoring Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.