• 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

磁共振血管图像处理综述:骨架法与非骨架法:第二部分。

A review on MR vascular image processing: skeleton versus nonskeleton approaches: part II.

作者信息

Suri Jasjit S, Liu Kecheng, Reden Laura, Laxminarayan Swamy

机构信息

Philips Medical Systems, Inc., Cleveland, OH 44143, USA.

出版信息

IEEE Trans Inf Technol Biomed. 2002 Dec;6(4):338-50. doi: 10.1109/titb.2002.804136.

DOI:10.1109/titb.2002.804136
PMID:15224848
Abstract

Vascular segmentation has recently been given much attention. This review paper has two parts. Part I of this review focused on the physics of magnetic resonance angiography (MRA) and prefiltering techniques applied to MRA. Part II of this review presents the state-of-the-art overview, status, and new achievements in vessel segmentation algorithms from MRA. The first part of this review paper is focused on the nonskeleton or direct-based techniques. Here, we present eight different techniques along with their mathematical foundations, algorithms and their pros and cons. We will also focus on the skeleton or indirect-based techniques. We will discuss three different techniques along with their mathematical foundations, algorithms and their pros and cons. This paper also includes a clinical discussion on skeleton versus nonskeleton-based segmentation techniques. Finally, we shall conclude this paper with the possible challenges, the future, and a brief summary on vascular segmentation techniques.

摘要

血管分割最近受到了广泛关注。这篇综述文章分为两个部分。本综述的第一部分聚焦于磁共振血管造影(MRA)的物理学原理以及应用于MRA的预滤波技术。本综述的第二部分介绍了基于MRA的血管分割算法的最新概述、现状和新成果。这篇综述文章的第一部分关注非骨架或直接法技术。在此,我们介绍八种不同的技术及其数学基础、算法以及优缺点。我们还将关注骨架或间接法技术。我们将讨论三种不同的技术及其数学基础、算法以及优缺点。本文还包括关于基于骨架与非骨架的分割技术的临床讨论。最后,我们将以血管分割技术可能面临的挑战、未来发展以及简要总结来结束本文。

相似文献

1
A review on MR vascular image processing: skeleton versus nonskeleton approaches: part II.磁共振血管图像处理综述:骨架法与非骨架法:第二部分。
IEEE Trans Inf Technol Biomed. 2002 Dec;6(4):338-50. doi: 10.1109/titb.2002.804136.
2
A review on MR vascular image processing algorithms: acquisition and prefiltering: part I.磁共振血管图像处理算法综述:采集与预滤波:第一部分
IEEE Trans Inf Technol Biomed. 2002 Dec;6(4):324-37. doi: 10.1109/titb.2002.804139.
3
Combining MIP images and fuzzy set principles for vessels segmentation: application to TOF MRA and CE-MRA.结合最大强度投影(MIP)图像与模糊集原理进行血管分割:在时间飞跃法磁共振血管造影(TOF MRA)和对比增强磁共振血管造影(CE-MRA)中的应用
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:6256-9. doi: 10.1109/IEMBS.2007.4353785.
4
Segmentation of volumetric MRA images by using capillary active contour.利用毛细管活动轮廓对容积磁共振血管造影(MRA)图像进行分割。
Med Image Anal. 2006 Jun;10(3):317-29. doi: 10.1016/j.media.2005.12.002. Epub 2006 Feb 7.
5
MRA image segmentation with capillary active contour.基于毛细管活动轮廓的磁共振血管造影(MRA)图像分割
Med Image Comput Comput Assist Interv. 2005;8(Pt 1):51-8. doi: 10.1007/11566465_7.
6
Vascular segmentation of phase contrast magnetic resonance angiograms based on statistical mixture modeling and local phase coherence.基于统计混合建模和局部相位相干性的相位对比磁共振血管造影的血管分割
IEEE Trans Med Imaging. 2004 Dec;23(12):1490-507. doi: 10.1109/TMI.2004.836877.
7
A novel 3D joint Markov-Gibbs model for extracting blood vessels from PC-MRA images.一种用于从相位对比磁共振血管造影(PC-MRA)图像中提取血管的新型三维联合马尔可夫-吉布斯模型。
Med Image Comput Comput Assist Interv. 2009;12(Pt 2):943-50. doi: 10.1007/978-3-642-04271-3_114.
8
Generalization of geometrical flux maximizing flow on Riemannian manifolds for improved volumetric blood vessel segmentation.基于黎曼流形上几何通量最大化流的推广实现改进的容积血管分割。
Comput Med Imaging Graph. 2012 Sep;36(6):474-83. doi: 10.1016/j.compmedimag.2012.04.007. Epub 2012 Jun 2.
9
Effective statistical edge integration using a flux maximizing scheme for volumetric vascular segmentation in MRA.使用通量最大化方案在磁共振血管造影(MRA)中进行容积血管分割的有效统计边缘整合。
Inf Process Med Imaging. 2007;20:86-97. doi: 10.1007/978-3-540-73273-0_8.
10
Segmentation and quantification of human vessels using a 3-D cylindrical intensity model.使用三维圆柱强度模型对人体血管进行分割和量化。
IEEE Trans Image Process. 2007 Aug;16(8):1994-2004. doi: 10.1109/tip.2007.901204.

引用本文的文献

1
Imaging of the pial arterial vasculature of the human brain in vivo using high-resolution 7T time-of-flight angiography.使用高分辨率 7T 时间飞跃血管造影术对人脑的脑膜动脉血管进行活体成像。
Elife. 2022 Apr 29;11:e71186. doi: 10.7554/eLife.71186.
2
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence.人工智能在 COVID-19 感染肺部中对急性呼吸窘迫综合征特征的叙述性综述。
Comput Biol Med. 2021 Mar;130:104210. doi: 10.1016/j.compbiomed.2021.104210. Epub 2021 Jan 18.
3
A Fully Automated Method for Segmenting Arteries and Quantifying Vessel Radii on Magnetic Resonance Angiography Images of Varying Projection Thickness.
一种用于在不同投影厚度的磁共振血管造影图像上分割动脉并量化血管半径的全自动方法。
Front Neurosci. 2020 Jun 16;14:537. doi: 10.3389/fnins.2020.00537. eCollection 2020.
4
Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography.自动图像处理流水线用于跟踪磁共振血管造影中的纵向血管变化。
J Magn Reson Imaging. 2019 Oct;50(4):1063-1074. doi: 10.1002/jmri.26699. Epub 2019 Mar 7.
5
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.两种用于测量颈动脉管腔直径的自动化技术:区域法与边界法。
J Med Syst. 2016 Jul;40(7):182. doi: 10.1007/s10916-016-0543-0. Epub 2016 Jun 14.
6
Atlas-based analysis of 4D flow CMR: automated vessel segmentation and flow quantification.基于图谱的4D流心脏磁共振成像分析:自动血管分割与血流定量
J Cardiovasc Magn Reson. 2015 Oct 5;17:87. doi: 10.1186/s12968-015-0190-5.
7
A new human heart vessel identification, segmentation and 3D reconstruction mechanism.一种新型人体心脏血管识别、分割及三维重建机制。
J Cardiothorac Surg. 2014 Oct 2;9:161. doi: 10.1186/s13019-014-0161-1.
8
A fast and fully automatic method for cerebrovascular segmentation on time-of-flight (TOF) MRA image.一种快速全自动的基于时间飞跃(TOF)MRA 图像的脑血管分割方法。
J Digit Imaging. 2011 Aug;24(4):609-25. doi: 10.1007/s10278-010-9326-1.
9
High-resolution 3T MR angiography of the carotid arteries: comparison of manual and semiautomated quantification of stenosis.颈动脉高分辨率3T磁共振血管造影:手动与半自动狭窄定量分析的比较
AJNR Am J Neuroradiol. 2009 Jan;30(1):46-52. doi: 10.3174/ajnr.A1302. Epub 2008 Oct 8.
10
A non-parametric vessel detection method for complex vascular structures.一种用于复杂血管结构的非参数血管检测方法。
Med Image Anal. 2009 Feb;13(1):49-61. doi: 10.1016/j.media.2008.05.005. Epub 2008 Jun 14.