Spherical measurement-based analysis of gradient nonlinearity in magnetic resonance imaging.
10.7507/1001-5515.202401068
- Author:
Xiaoli YANG
1
;
Zhaolian WANG
1
;
Qian WANG
1
;
Yiting ZHANG
1
;
Zixuan SONG
1
;
Yuchang ZHANG
1
;
Yafei QI
2
;
Xiaopeng MA
3
Author Information
1. Weifang Xinli Superconducting Magnet Technology Co., Ltd., Weifang, Shandong 261071, P. R. China.
2. Department of Radiology, Qilu Hospital of Shandong University, Jinan 250012, P. R. China.
3. School of Control Science and Engineering, Shandong University, Jinan 250061, P. R. China.
- Publication Type:Journal Article
- Keywords:
Gradient coils;
Gradient magnetic field calculation;
Gradient nonlinearity;
Magnetic resonance imaging
- MeSH:
Magnetic Resonance Imaging/instrumentation*;
Humans;
Image Processing, Computer-Assisted/methods*;
Nonlinear Dynamics;
Magnetic Fields;
Algorithms;
Phantoms, Imaging
- From:
Journal of Biomedical Engineering
2025;42(1):174-180
- CountryChina
- Language:Chinese
-
Abstract:
The gradient field, one of the core magnetic fields in magnetic resonance imaging (MRI) systems, is generated by gradient coils and plays a critical role in spatial encoding and the generation of echo signals. The uniformity or linearity of the gradient field directly impacts the quality and distortion level of MRI images. However, traditional point measurement methods lack accuracy in assessing the linearity of gradient fields, making it difficult to provide effective parameters for image distortion correction. This paper introduced a spherical measurement-based method that involved measuring the magnetic field distribution on a sphere, followed by detailed magnetic field calculations and linearity analysis. This study, applied to assess the nonlinearity of asymmetric head gradient coils, demonstrated more comprehensive and precise results compared to point measurement methods. This advancement not only strengthens the scientific basis for the design of gradient coils but also provides more reliable parameters and methods for the accurate correction of MRI image distortions.
