• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Correction of intensity nonuniformity in MR images of any orientation.

作者信息

Wicks D A, Barker G J, Tofts P S

机构信息

NMR Research Group, Institute of Neurology, London, U.K.

出版信息

Magn Reson Imaging. 1993;11(2):183-96. doi: 10.1016/0730-725x(93)90023-7.

DOI:10.1016/0730-725x(93)90023-7
PMID:8455430
Abstract

The specialised radiofrequency (RF) coils used in MRI such as head or surface coils can give rise to marked image intensity nonuniformities. There are two situations in which it is essential to correct this: (1) When a global intensity threshold is used to segment particular tissues; and (2) in proton density images, from which the proton concentration can be measured provided that the system gain is uniform or known over the whole image. We describe experiments to determine the magnitude and sources of nonuniformity in a 0.5-T system, and assess methods devised to correct for them in scans of any orientation, including oblique scans at arbitrary angles to the magnet axis and arbitrary offsets from the magnet iso-centre. A correction based on the response of a system to a uniform phantom was implemented. Tests of the correction with orthogonal views demonstrate that the uniformity of images of any orientation can be improved significantly with a correction matrix from just one orientation and still further with two matrices, one axial and the other either coronal or sagittal. We expect further improvements to be possible if gradient coil eddy current effects can be reduced.

摘要

相似文献

1
Correction of intensity nonuniformity in MR images of any orientation.
Magn Reson Imaging. 1993;11(2):183-96. doi: 10.1016/0730-725x(93)90023-7.
2
A simple method to improve image nonuniformity of brain MR images at the edges of a head coil.一种改善头部线圈边缘脑磁共振图像的图像不均匀性的简单方法。
J Comput Assist Tomogr. 1999 Nov-Dec;23(6):1008-12. doi: 10.1097/00004728-199911000-00035.
3
Correction of nonuniformity in images of the spine and optic nerve from fixed receive-only surface coils at 1.5 T.
J Comput Assist Tomogr. 1994 Nov-Dec;18(6):997-1003. doi: 10.1097/00004728-199411000-00033.
4
Sources of intensity nonuniformity in spin echo images at 1.5 T.1.5T自旋回波图像中强度不均匀性的来源。
Magn Reson Med. 1994 Jul;32(1):121-8. doi: 10.1002/mrm.1910320117.
5
Local histogram correction of MRI spatially dependent image pixel intensity nonuniformity.磁共振成像(MRI)空间相关图像像素强度不均匀性的局部直方图校正
J Magn Reson Imaging. 1996 May-Jun;6(3):519-28. doi: 10.1002/jmri.1880060316.
6
Surface coil MR imaging of the human brain with an analytic reception profile correction.
J Magn Reson Imaging. 1995 Mar-Apr;5(2):139-44. doi: 10.1002/jmri.1880050204.
7
Simultaneous PET/MR imaging: MR-based attenuation correction of local radiofrequency surface coils.同时进行的正电子发射断层扫描/磁共振成像:基于磁共振的局部射频表面线圈衰减校正。
Med Phys. 2012 Jul;39(7):4306-15. doi: 10.1118/1.4729716.
8
A wavelet-based approximation of surface coil sensitivity profiles for correction of image intensity inhomogeneity and parallel imaging reconstruction.基于小波的表面线圈灵敏度分布近似,用于校正图像强度不均匀性和平行成像重建。
Hum Brain Mapp. 2003 Jun;19(2):96-111. doi: 10.1002/hbm.10109.
9
Interplay between intensity standardization and inhomogeneity correction in MR image processing.磁共振图像处理中强度标准化与不均匀性校正之间的相互作用。
IEEE Trans Med Imaging. 2005 May;24(5):561-76. doi: 10.1109/TMI.2004.843256.
10
Method for a detailed measurement of image intensity nonuniformity in magnetic resonance imaging.磁共振成像中图像强度非均匀性的详细测量方法。
Med Phys. 2005 Apr;32(4):952-60. doi: 10.1118/1.1869572.

引用本文的文献

1
Novel Self-Calibrated Threshold-Free Probabilistic Fibrosis Signature Technique for 3D Late Gadolinium Enhancement MRI.用于三维延迟钆增强磁共振成像的新型自校准无阈值概率性纤维化特征技术
IEEE Trans Biomed Eng. 2025 Mar;72(3):856-869. doi: 10.1109/TBME.2024.3476930. Epub 2025 Feb 20.
2
Cerebrospinal fluid flow artifact reduction with deep learning to optimize the evaluation of spinal canal stenosis on spine MRI.利用深度学习减少脑脊液流动伪影,优化脊柱 MRI 评估椎管狭窄。
Skeletal Radiol. 2024 May;53(5):957-965. doi: 10.1007/s00256-023-04501-6. Epub 2023 Nov 23.
3
ABCnet: Adversarial bias correction network for infant brain MR images.
ABCnet:用于婴儿脑磁共振图像的对抗性偏差校正网络。
Med Image Anal. 2021 Aug;72:102133. doi: 10.1016/j.media.2021.102133. Epub 2021 Jun 18.
4
Multiple Sclerosis Lesions Segmentation in Magnetic Resonance Imaging using Ensemble Support Vector Machine (ESVM).基于集成支持向量机(ESVM)的磁共振成像中多发性硬化病变分割
J Biomed Phys Eng. 2019 Dec 1;9(6):699-710. doi: 10.31661/jbpe.v0i0.986. eCollection 2019 Dec.
5
Surface Coil Intensity Correction in Magnetic Resonance Imaging in Spinal Metastases.脊柱转移瘤磁共振成像中的表面线圈强度校正
Open Med (Wars). 2017 May 20;12:138-143. doi: 10.1515/med-2017-0021. eCollection 2017.
6
Detection of Focal Longitudinal Changes in the Brain by Subtraction of MR Images.通过磁共振图像相减检测脑部局灶性纵向变化
AJNR Am J Neuroradiol. 2017 May;38(5):923-927. doi: 10.3174/ajnr.A5165. Epub 2017 Mar 31.
7
MR image segmentation and bias field estimation based on coherent local intensity clustering with total variation regularization.基于具有总变差正则化的相干局部强度聚类的磁共振图像分割与偏置场估计。
Med Biol Eng Comput. 2016 Dec;54(12):1807-1818. doi: 10.1007/s11517-016-1540-7. Epub 2016 Jul 4.
8
A modified method for MRF segmentation and bias correction of MR image with intensity inhomogeneity.一种针对具有强度不均匀性的磁共振图像进行磁共振弹性成像(MRF)分割和偏差校正的改进方法。
Med Biol Eng Comput. 2015 Jan;53(1):23-35. doi: 10.1007/s11517-014-1198-y. Epub 2014 Oct 11.
9
Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation.用于MRI偏置场估计和组织分割的乘法固有成分优化(MICO)
Magn Reson Imaging. 2014 Sep;32(7):913-23. doi: 10.1016/j.mri.2014.03.010. Epub 2014 Apr 30.
10
Multiparametric MRI of prostate cancer: an update on state-of-the-art techniques and their performance in detecting and localizing prostate cancer.前列腺癌的多参数 MRI:最新技术及其在前列腺癌检测和定位中的性能评估。
J Magn Reson Imaging. 2013 May;37(5):1035-54. doi: 10.1002/jmri.23860.