• 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

相似文献

1
Improving the correction of eddy current-induced distortion in diffusion-weighted images by excluding signals from the cerebral spinal fluid.通过排除脑脊液信号来改善扩散加权图像中涡流引起的失真的校正。
Comput Med Imaging Graph. 2012 Oct;36(7):542-51. doi: 10.1016/j.compmedimag.2012.06.004. Epub 2012 Jul 24.
2
A quantitative comparison of two methods to correct eddy current-induced distortions in DT-MRI.两种校正扩散张量磁共振成像中涡流引起畸变方法的定量比较。
Magn Reson Imaging. 2007 Apr;25(3):341-9. doi: 10.1016/j.mri.2006.09.009. Epub 2006 Nov 13.
3
Evaluation of eddy current distortion and field inhomogeneity distortion corrections in MR diffusion imaging using log-demons DIR method.应用基于对数差分像的方向迭代（log-demons DIR）方法评估磁共振扩散成像中的涡流变形和磁场非均匀性变形校正。
Phys Med Biol. 2021 Jan 29;66(3):035021. doi: 10.1088/1361-6560/abcb20.
4
Correction of eddy-current distortions in diffusion tensor images using the known directions and strengths of diffusion gradients.利用扩散梯度的已知方向和强度校正扩散张量图像中的涡流畸变。
J Magn Reson Imaging. 2006 Nov;24(5):1188-93. doi: 10.1002/jmri.20727.
5
On the use of the FLAIR technique to improve the correction of eddy current induced artefacts in MR diffusion tensor imaging.关于使用液体衰减反转恢复（FLAIR）技术改善磁共振扩散张量成像中涡流诱导伪影的校正
Magn Reson Imaging. 2001 Sep;19(7):937-50. doi: 10.1016/s0730-725x(01)00427-1.
6
Prospective and retrospective high order eddy current mitigation for diffusion weighted echo planar imaging.前瞻性和回顾性高阶涡流缓解在扩散加权回波平面成像中的应用。
Magn Reson Med. 2013 Nov;70(5):1293-305. doi: 10.1002/mrm.24589. Epub 2013 Jan 16.
7
Characterization and correction of diffusion gradient-induced eddy currents in second-order motion-compensated echo-planar and spiral cardiac DTI.二阶运动补偿回波平面和螺旋心脏 DTI 中扩散梯度诱发的涡流的特性和校正。
Magn Reson Med. 2022 Dec;88(6):2378-2394. doi: 10.1002/mrm.29378. Epub 2022 Aug 2.
8
Geometric distortion correction of high-resolution 3 T diffusion tensor brain images.高分辨率3T扩散张量脑图像的几何失真校正
Magn Reson Med. 2005 Nov;54(5):1163-71. doi: 10.1002/mrm.20651.
9
Correction of eddy current-induced artefacts in diffusion tensor imaging using iterative cross-correlation.使用迭代互相关校正扩散张量成像中涡流诱导的伪影。
Magn Reson Imaging. 1999 Sep;17(7):1011-24. doi: 10.1016/s0730-725x(99)00026-0.
10
Diffusion tensor imaging focusing on lower cervical spinal cord using 2D reduced FOV interleaved multislice single-shot diffusion-weighted echo-planar imaging: comparison with conventional single-shot diffusion-weighted echo-planar imaging.使用二维缩小视野交错多层单次激发扩散加权回波平面成像技术聚焦于下颈段脊髓的扩散张量成像：与传统单次激发扩散加权回波平面成像的比较
Magn Reson Imaging. 2015 May;33(4):401-6. doi: 10.1016/j.mri.2015.01.007. Epub 2015 Jan 19.

引用本文的文献

1
Recognition and diagnosis of Alzheimer's Disease using T1-weighted magnetic resonance imaging via integrating CNN and Swin vision transformer.通过整合卷积神经网络（CNN）和Swin视觉变换器，利用T1加权磁共振成像对阿尔茨海默病进行识别和诊断。
Clinics (Sao Paulo). 2025 Jun 17;80:100673. doi: 10.1016/j.clinsp.2025.100673.
2
Diffusion tensor imaging brain structural clustering patterns in major depressive disorder.弥散张量成像在重度抑郁症中的脑结构聚类模式。
Hum Brain Mapp. 2021 Oct 15;42(15):5023-5036. doi: 10.1002/hbm.25597. Epub 2021 Jul 27.
3
Preliminary Results of High-Precision Computed Diffusion Weighted Imaging for the Diagnosis of Hepatocellular Carcinoma at 3 Tesla.3特斯拉高精度计算机扩散加权成像诊断肝细胞癌的初步结果
J Comput Assist Tomogr. 2018 May/Jun;42(3):373-379. doi: 10.1097/RCT.0000000000000702.
4
Automated assessment of the quality of diffusion tensor imaging data using color cast of color-encoded fractional anisotropy images.使用彩色编码分数各向异性图像的色偏对扩散张量成像数据质量进行自动评估。
Magn Reson Imaging. 2014 Jun;32(5):446-56. doi: 10.1016/j.mri.2014.01.013. Epub 2014 Jan 28.
5
The role of diffusion tensor imaging in detecting microstructural changes in prodromal Alzheimer's disease.弥散张量成像在检测前驱期阿尔茨海默病微观结构变化中的作用。
CNS Neurosci Ther. 2014 Jan;20(1):3-9. doi: 10.1111/cns.12166. Epub 2013 Dec 12.

本文引用的文献

1
Correcting eddy current and motion effects by affine whole-brain registrations: evaluation of three-dimensional distortions and comparison with slicewise correction.通过仿射全脑配准校正涡流和运动效应：三维变形评估及与分片校正的比较。
Magn Reson Med. 2010 Oct;64(4):1047-56. doi: 10.1002/mrm.22501.
2
The ellipsoidal area ratio: an alternative anisotropy index for diffusion tensor imaging.椭球面积比：扩散张量成像的一种替代各向异性指数。
Magn Reson Imaging. 2009 Apr;27(3):311-23. doi: 10.1016/j.mri.2008.07.018. Epub 2008 Oct 2.
3
Mutual information-based multimodal image registration using a novel joint histogram estimation.基于互信息的多模态图像配准：一种新型联合直方图估计方法
Comput Med Imaging Graph. 2008 Apr;32(3):202-9. doi: 10.1016/j.compmedimag.2007.12.001. Epub 2008 Jan 22.
4
A quantitative comparison of two methods to correct eddy current-induced distortions in DT-MRI.两种校正扩散张量磁共振成像中涡流引起畸变方法的定量比较。
Magn Reson Imaging. 2007 Apr;25(3):341-9. doi: 10.1016/j.mri.2006.09.009. Epub 2006 Nov 13.
5
Retrospective distortion correction for 3D MR diffusion tensor microscopy using mutual information and Fourier deformations.使用互信息和傅里叶变形对3D磁共振扩散张量显微镜进行回顾性失真校正。
Magn Reson Med. 2006 Aug;56(2):310-6. doi: 10.1002/mrm.20949.
6
k-space correction of eddy-current-induced distortions in diffusion-weighted echo-planar imaging.扩散加权回波平面成像中涡流诱导畸变的k空间校正
Magn Reson Med. 2005 May;53(5):1103-11. doi: 10.1002/mrm.20429.
7
Eddy current correction in diffusion-weighted imaging using pairs of images acquired with opposite diffusion gradient polarity.使用具有相反扩散梯度极性采集的图像对进行扩散加权成像中的涡流校正。
Magn Reson Med. 2004 Jan;51(1):188-93. doi: 10.1002/mrm.10690.
8
Comprehensive approach for correction of motion and distortion in diffusion-weighted MRI.扩散加权磁共振成像中运动和畸变校正的综合方法。
Magn Reson Med. 2004 Jan;51(1):103-14. doi: 10.1002/mrm.10677.
9
Mutual-information-based registration of medical images: a survey.基于互信息的医学图像配准：综述
IEEE Trans Med Imaging. 2003 Aug;22(8):986-1004. doi: 10.1109/TMI.2003.815867.
10
Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo.使用双重重聚焦自旋回波减少扩散磁共振成像中涡流诱导的畸变。
Magn Reson Med. 2003 Jan;49(1):177-82. doi: 10.1002/mrm.10308.

通过排除脑脊液信号来改善扩散加权图像中涡流引起的失真的校正。

Improving the correction of eddy current-induced distortion in diffusion-weighted images by excluding signals from the cerebral spinal fluid.

机构信息

Key Laboratory of Brain Functional Genomics, Ministry of Education & Shanghai Key Laboratory of Brain Functional Genomics, Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China.

出版信息

Comput Med Imaging Graph. 2012 Oct;36(7):542-51. doi: 10.1016/j.compmedimag.2012.06.004. Epub 2012 Jul 24.

DOI:10.1016/j.compmedimag.2012.06.004
PMID:22835646
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3432158/
Abstract

Iterative cross-correlation (ICC) is the most popularly used schema for correcting eddy current (EC)-induced distortion in diffusion-weighted imaging data, however, it cannot process data acquired at high b-values. We analyzed the error sources and affecting factors in parameter estimation, and propose an efficient algorithm by expanding the ICC framework with a number of techniques: (1) pattern recognition for excluding brain ventricles; (2) ICC with the extracted ventricle for parameter initialization; (3) gradient-based entropy correlation coefficient (GECC) for optimal and finer registration. Experiments demonstrated that our method is robust with high accuracy and error tolerance, and outperforms other ICC-family algorithms and popular approaches currently in use.

摘要

迭代互相关（ICC）是最常用于校正扩散加权成像数据中涡流（EC）引起的失真的方案，但是，它不能处理在高 b 值下采集的数据。我们分析了参数估计中的误差源和影响因素，并通过扩展 ICC 框架并采用多种技术提出了一种有效的算法：（1）模式识别以排除脑室内；（2）使用提取的脑室进行 ICC 以进行参数初始化；（3）基于梯度的熵相关系数（GECC）进行最佳和更精细的配准。实验表明，我们的方法具有高准确性和容错性，优于其他 ICC 族算法和当前使用的流行方法。