» Articles » PMID: 28321902

Modeling Real Shim Fields for Very High Degree (and Order) B Shimming of the Human Brain at 9.4 T

Overview
Journal Magn Reson Med
Publisher Wiley
Specialty Radiology
Date 2017 Mar 22
PMID 28321902
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: To describe the process of calibrating a B shim system using high-degree (or high order) spherical harmonic models of the measured shim fields, to provide a method that considers amplitude dependency of these models, and to show the advantage of very high-degree B shimming for whole-brain and single-slice applications at 9.4 Tesla (T).

Methods: An insert shim with up to fourth and partial fifth/sixth degree (order) spherical harmonics was used with a Siemens 9.4T scanner. Each shim field was measured and modeled as input for the shimming algorithm. Optimal shim currents can therefore be calculated in a single iteration. A range of shim currents was used in the modeling to account for possible amplitude nonlinearities. The modeled shim fields were used to compare different degrees of whole-brain B shimming on healthy subjects.

Results: The ideal shim fields did not correctly shim the subject brains. However, using the modeled shim fields improved the B homogeneity from 55.1 (second degree) to 44.68 Hz (partial fifth/sixth degree) on the whole brains of 9 healthy volunteers, with a total applied current of 0.77 and 6.8 A, respectively.

Conclusions: The necessity of calibrating the shim system was shown. Better B homogeneity drastically reduces signal dropout and distortions for echo-planar imaging, and significantly improves the linewidths of MR spectroscopy imaging. Magn Reson Med 79:529-540, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Citing Articles

Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging.

Hingerl L, Strasser B, Schmidt S, Eckstein K, Genovese G, Auerbach E Neuroimage. 2025; 307:121015.

PMID: 39793640 PMC: 11906155. DOI: 10.1016/j.neuroimage.2025.121015.


Advancements in MR hardware systems and magnetic field control: B shimming, RF coils, and gradient techniques for enhancing magnetic resonance imaging and spectroscopy.

Shang Y, Simegn G, Gillen K, Yang H, Han H Psychoradiology. 2024; 4:kkae013.

PMID: 39258223 PMC: 11384915. DOI: 10.1093/psyrad/kkae013.


Enhancing Whole-Brain Magnetic Field Homogeneity for 3D-Magnetic Resonance Spectroscopic Imaging with a Novel Unified Coil: A Preliminary Study.

Malagi A, Li X, Zhang N, Liu Y, Huang Y, Serry F Cancers (Basel). 2024; 16(6).

PMID: 38539565 PMC: 10969602. DOI: 10.3390/cancers16061233.


Reproducibility and feasibility of optic nerve diffusion MRI techniques: single-shot echo-planar imaging (EPI), readout-segmented EPI, and reduced field-of-view diffusion-weighted imaging.

Zhou F, Li Q, Zhang X, Ma H, Zhang G, Du S BMC Med Imaging. 2022; 22(1):96.

PMID: 35606748 PMC: 9128217. DOI: 10.1186/s12880-022-00814-5.


Data-driven motion-corrected brain MRI incorporating pose-dependent B fields.

Brackenier Y, Cordero-Grande L, Tomi-Tricot R, Wilkinson T, Bridgen P, Price A Magn Reson Med. 2022; 88(2):817-831.

PMID: 35526212 PMC: 9324873. DOI: 10.1002/mrm.29255.