• 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

多平面、多次屏气心脏电影磁共振成像的患者运动校正

Patient motion correction for multiplanar, multi-breath-hold cardiac cine MR imaging.

作者信息

Slomka Piotr J, Fieno David, Ramesh Amit, Goyal Vaibhav, Nishina Hidetaka, Thompson Louise E J, Saouaf Rola, Berman Daniel S, Germano Guido

机构信息

Department of Imaging, Cedars-Sinai Medical Center, #A047 8700 Beverly Boulevard, Los Angeles, CA 90048, USA.

出版信息

J Magn Reson Imaging. 2007 May;25(5):965-73. doi: 10.1002/jmri.20909.

DOI:10.1002/jmri.20909
PMID:17457798
Abstract

PURPOSE

To correct for spatial misregistration of multi-breath-hold short-axis (SA), two-chamber (2CH), and four-chamber (4CH) cine cardiac MR (CMR) images caused by respiratory and patient motion.

MATERIALS AND METHODS

Twenty CMR studies from consecutive patients with separate breath-hold 2CH, 4CH, and SA 20-phase cine images were considered. We automatically registered the 2CH, 4CH, and SA images in three dimensions by minimizing the cost function derived from plane intersections for all cine phases. The automatic alignment was compared with manual alignment by two observers.

RESULTS

The processing time for the proposed method was <20 seconds, compared to 14-24 minutes for the manual correction. The initial plane displacement identified by the observers was 2.8 +/- 1.8 mm (maximum = 14 mm). A displacement of >/=5 mm was identified in 15 of 20 studies. The registration accuracy (defined as the difference between the automatic parameters and those obtained by visual registration) was 1.0 +/- 0.9 mm, 1.1 +/- 1.0 mm, 1.1 +/- 1.2 mm, and 2.0 +/- 1.8 mm for 2CH-4CH alignment and SA alignment in the mid, basal, and apical regions, respectively. The algorithm variability was higher in the apex (2.0 +/- 1.9 mm) than in the mid (1.4 +/- 1.4 mm) or basal (1.2 +/- 1.2 mm) regions (ANOVA, P < 0.05).

CONCLUSION

An automated preprocessing algorithm can reduce spatial misregistration between multiple CMR images acquired at different breath-holds and plane orientations.

摘要

目的

校正因呼吸和患者运动导致的多屏气短轴(SA)、双腔(2CH)和四腔(4CH)电影心脏磁共振(CMR)图像的空间配准误差。

材料与方法

纳入20例连续患者的CMR研究,这些患者分别有屏气2CH、4CH和SA 20期电影图像。我们通过最小化所有电影相位平面相交得出的代价函数,在三维空间中自动配准2CH、4CH和SA图像。由两名观察者将自动对齐与手动对齐进行比较。

结果

所提出方法的处理时间<20秒,而手动校正的处理时间为14 - 24分钟。观察者识别出的初始平面位移为2.8±1.8毫米(最大值 = 14毫米)。20项研究中有15项识别出位移≥5毫米。2CH - 4CH对齐以及SA在中部、基部和心尖区域对齐的配准精度(定义为自动参数与视觉配准获得的参数之间的差异)分别为1.0±0.9毫米、1.1±1.0毫米、1.1±1.2毫米和2.0±1.8毫米。算法变异性在心尖区域(2.0±1.9毫米)高于中部(1.4±1.4毫米)或基部(1.2±1.2毫米)区域(方差分析,P < 0.05)。

结论

一种自动预处理算法可减少在不同屏气和平面方向获取的多个CMR图像之间的空间配准误差。

相似文献

1
Patient motion correction for multiplanar, multi-breath-hold cardiac cine MR imaging.多平面、多次屏气心脏电影磁共振成像的患者运动校正
J Magn Reson Imaging. 2007 May;25(5):965-73. doi: 10.1002/jmri.20909.
2
Comparison of left and right ventricular volume measurement using the Simpson's method and the area length method.使用辛普森法和面积长度法测量左心室和右心室容积的比较。
Eur J Radiol. 2008 Feb;65(2):270-8. doi: 10.1016/j.ejrad.2007.03.031. Epub 2007 May 10.
3
Automatic 3-D breath-hold related motion correction of dynamic multislice MRI.动态多层 MRI 的自动 3-D 屏气相关运动校正。
IEEE Trans Med Imaging. 2010 Mar;29(3):868-78. doi: 10.1109/TMI.2009.2039145.
4
Correction of motion artifacts from cardiac cine magnetic resonance images.心脏电影磁共振图像运动伪影的校正
Acad Radiol. 2005 Oct;12(10):1273-84. doi: 10.1016/j.acra.2005.07.002.
5
Automatic identification of the left ventricle in cardiac cine-MR images: dual-contrast cluster analysis and scout-geometry approaches.心脏电影磁共振图像中左心室的自动识别:双对比聚类分析和定位扫描几何方法。
J Magn Reson Imaging. 2006 May;23(5):641-51. doi: 10.1002/jmri.20552.
6
Evaluation of global cardiac functional parameters using single-breath-hold three-dimensional cine steady-state free precession MR imaging with two types of speed-up techniques: comparison with two-dimensional cine imaging.使用两种加速技术的单屏气三维电影稳态自由进动磁共振成像评估整体心脏功能参数:与二维电影成像的比较
Comput Med Imaging Graph. 2008 Jan;32(1):61-6. doi: 10.1016/j.compmedimag.2007.09.003. Epub 2007 Nov 5.
7
Automatic image-driven segmentation of the ventricles in cardiac cine MRI.心脏电影磁共振成像中心室的自动图像驱动分割
J Magn Reson Imaging. 2008 Aug;28(2):366-74. doi: 10.1002/jmri.21451.
8
Cardiac functional analysis by free-breath real-time cine CMR with a spatiotemporal filtering method, TSENSE: comparison with breath-hold cine CMR.采用时空滤波方法TSENSE的自由呼吸实时电影心脏磁共振成像进行心脏功能分析:与屏气电影心脏磁共振成像的比较
J Cardiovasc Magn Reson. 2006;8(6):801-7. doi: 10.1080/10976640600777686.
9
3D myocardial tissue tracking with slice followed cine DENSE MRI.采用切片跟踪电影DENSE MRI进行三维心肌组织追踪。
J Magn Reson Imaging. 2008 May;27(5):1019-27. doi: 10.1002/jmri.21317.
10
Nearly automated motion artifacts correction between multi breath-hold short-axis and long-axis cine CMR images.多屏气短轴和长轴电影 CMRI 图像之间的近乎自动化运动伪影校正。
Comput Biol Med. 2014 Mar;46:42-50. doi: 10.1016/j.compbiomed.2013.12.013. Epub 2014 Jan 7.

引用本文的文献

1
Free-breathing 2D radial cine MRI with respiratory auto-calibrated motion correction (RAMCO).自由呼吸 2D 径向电影 MRI 结合呼吸自动校正运动校正(RAMCO)。
Magn Reson Med. 2023 Mar;89(3):977-989. doi: 10.1002/mrm.29499. Epub 2022 Nov 8.
2
Prognosis in patients with coronary heart disease and breath-holding limitations: a free-breathing cardiac magnetic resonance protocol at 3.0 T.冠心病和屏气受限患者的预后:3.0T 自由呼吸心脏磁共振方案。
BMC Cardiovasc Disord. 2021 Dec 7;21(1):580. doi: 10.1186/s12872-021-02402-x.
3
Cine Cardiac MRI Slice Misalignment Correction Towards Full 3D Left Ventricle Segmentation.
面向全三维左心室分割的心脏电影磁共振成像切片错位校正
Proc SPIE Int Soc Opt Eng. 2018 Feb;10576. doi: 10.1117/12.2294936. Epub 2018 Mar 12.
4
Correcting motion in multiplanar cardiac magnetic resonance images.校正多平面心脏磁共振图像中的运动。
Biomed Eng Online. 2016 Aug 8;15(1):93. doi: 10.1186/s12938-016-0216-8.
5
Highly accelerated cardiac MRI using iterative SENSE reconstruction: initial clinical experience.使用迭代敏感性编码(SENSE)重建的高度加速心脏磁共振成像:初步临床经验。
Int J Cardiovasc Imaging. 2016 Jun;32(6):955-63. doi: 10.1007/s10554-016-0859-3. Epub 2016 Feb 19.
6
Myocardial wall thickening from gated Magnetic Resonance images using Laplace's equation.利用拉普拉斯方程从门控磁共振图像中分析心肌壁增厚情况。
Proc SPIE Int Soc Opt Eng. 2009 Feb 10;7260. doi: 10.1117/12.811411.
7
Quantification of 3D regional myocardial wall thickening from gated magnetic resonance images.门控磁共振图像中 3D 区域性心肌壁增厚的定量分析。
J Magn Reson Imaging. 2010 Feb;31(2):317-27. doi: 10.1002/jmri.22033.