• 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

数字拓扑与医学成像中的几何:综述。

Digital Topology and Geometry in Medical Imaging: A Survey.

出版信息

IEEE Trans Med Imaging. 2015 Sep;34(9):1940-64. doi: 10.1109/TMI.2015.2417112. Epub 2015 Apr 14.

DOI:10.1109/TMI.2015.2417112
PMID:25879908
Abstract

Digital topology and geometry refers to the use of topologic and geometric properties and features for images defined in digital grids. Such methods have been widely used in many medical imaging applications, including image segmentation, visualization, manipulation, interpolation, registration, surface-tracking, object representation, correction, quantitative morphometry etc. Digital topology and geometry play important roles in medical imaging research by enriching the scope of target outcomes and by adding strong theoretical foundations with enhanced stability, fidelity, and efficiency. This paper presents a comprehensive yet compact survey on results, principles, and insights of methods related to digital topology and geometry with strong emphasis on understanding their roles in various medical imaging applications. Specifically, this paper reviews methods related to distance analysis and path propagation, connectivity, surface-tracking, image segmentation, boundary and centerline detection, topology preservation and local topological properties, skeletonization, and object representation, correction, and quantitative morphometry. A common thread among the topics reviewed in this paper is that their theory and algorithms use the principle of digital path connectivity, path propagation, and neighborhood analysis.

摘要

数字拓扑和几何是指在数字网格中定义的图像中使用拓扑和几何属性和特征。这些方法已广泛应用于许多医学成像应用中,包括图像分割、可视化、操作、插值、配准、曲面跟踪、对象表示、校正、定量形态测量等。数字拓扑和几何通过丰富目标结果的范围,并通过添加具有增强的稳定性、保真度和效率的强大理论基础,在医学成像研究中发挥着重要作用。本文对与数字拓扑和几何相关的方法的结果、原理和见解进行了全面而简洁的综述,重点是了解它们在各种医学成像应用中的作用。具体来说,本文综述了与距离分析和路径传播、连通性、曲面跟踪、图像分割、边界和中心线检测、拓扑保持和局部拓扑属性、骨架化以及对象表示、校正和定量形态测量相关的方法。本文回顾的主题的一个共同点是,它们的理论和算法使用数字路径连通性、路径传播和邻域分析的原理。

相似文献

1
Digital Topology and Geometry in Medical Imaging: A Survey.数字拓扑与医学成像中的几何:综述。
IEEE Trans Med Imaging. 2015 Sep;34(9):1940-64. doi: 10.1109/TMI.2015.2417112. Epub 2015 Apr 14.
2
A robust medical image segmentation method using KL distance and local neighborhood information.一种基于 KL 距离和局部邻域信息的稳健医学图像分割方法。
Comput Biol Med. 2013 Jun;43(5):459-70. doi: 10.1016/j.compbiomed.2013.01.002. Epub 2013 Mar 15.
3
Digital image processing.数字图像处理。
Radiol Technol. 2004 Jul-Aug;75(6):435-52; quiz 453-5.
4
Topology correction of segmented medical images using a fast marching algorithm.使用快速行进算法对分割后的医学图像进行拓扑校正。
Comput Methods Programs Biomed. 2007 Nov;88(2):182-90. doi: 10.1016/j.cmpb.2007.08.006. Epub 2007 Oct 17.
5
Topology-preserving tissue classification of magnetic resonance brain images.磁共振脑图像的拓扑保持组织分类
IEEE Trans Med Imaging. 2007 Apr;26(4):487-96. doi: 10.1109/TMI.2007.893283.
6
Distance-driven skeletonization in voxel images.体素图像中的距离驱动骨骼化。
IEEE Trans Pattern Anal Mach Intell. 2011 Apr;33(4):709-20. doi: 10.1109/TPAMI.2010.140.
7
Reconstruction of the human cerebral cortex from magnetic resonance images.从磁共振图像重建人类大脑皮层。
IEEE Trans Med Imaging. 1999 Jun;18(6):467-80. doi: 10.1109/42.781013.
8
A medical imaging and visualization toolkit in Java.一个用Java编写的医学成像与可视化工具包。
J Digit Imaging. 2006 Mar;19(1):17-29. doi: 10.1007/s10278-005-9247-6.
9
Integrating watersheds and critical point analysis for object detection in discrete 2D images.在离散二维图像中集成流域分割和临界点分析以进行目标检测。
Med Image Anal. 2004 Sep;8(3):177-85. doi: 10.1016/j.media.2004.06.002.
10
Three-dimensional visualization and analysis methodologies: a current perspective.三维可视化与分析方法:当前视角
Radiographics. 1999 May-Jun;19(3):783-806. doi: 10.1148/radiographics.19.3.g99ma13783.

引用本文的文献

1
Topology aware multitask cascaded U-Net for cerebrovascular segmentation.用于脑血管分割的拓扑感知多任务级联U型网络
PLoS One. 2024 Dec 5;19(12):e0311439. doi: 10.1371/journal.pone.0311439. eCollection 2024.
2
Multilabel SegSRGAN-A framework for parcellation and morphometry of preterm brain in MRI.多标签 SegSRGAN-A 框架,用于 MRI 中早产儿脑的分割和形态测量。
PLoS One. 2024 Nov 1;19(11):e0312822. doi: 10.1371/journal.pone.0312822. eCollection 2024.
3
Automated CT-based decoupling of the effects of airway narrowing and wall thinning on airway counts in chronic obstructive pulmonary disease.
基于计算机断层扫描(CT)的气道狭窄和壁变薄对慢性阻塞性肺疾病气道计数影响的自动解耦。
Br J Radiol. 2025 Jan 1;98(1165):150-159. doi: 10.1093/bjr/tqae211.
4
A novel procedure for medial axis reconstruction of vessels from Medical Imaging segmentation.一种从医学影像分割中重建血管中轴线的新方法。
Heliyon. 2024 May 23;10(11):e31769. doi: 10.1016/j.heliyon.2024.e31769. eCollection 2024 Jun 15.
5
Chest CT-based automated vertebral fracture assessment using artificial intelligence and morphologic features.基于人工智能和形态学特征的胸部 CT 自动椎体骨折评估。
Med Phys. 2024 Jun;51(6):4201-4218. doi: 10.1002/mp.17072. Epub 2024 May 9.
6
Morphometric Analysis of the Thymic Epithelial Cell (TEC) Network Using Integrated and Orthogonal Digital Pathology Approaches.使用整合与正交数字病理学方法对胸腺上皮细胞(TEC)网络进行形态计量分析。
bioRxiv. 2024 Mar 14:2024.03.11.584509. doi: 10.1101/2024.03.11.584509.
7
Directional Connectivity-based Segmentation of Medical Images.基于方向连通性的医学图像分割
Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2023 Jun;2023:11525-11535. doi: 10.1109/cvpr52729.2023.01109. Epub 2023 Aug 22.
8
Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology.深模糊:深度学习和模糊水流的协同集成,用于数字病理学中的细粒度核分割。
PLoS One. 2023 Jun 23;18(6):e0286862. doi: 10.1371/journal.pone.0286862. eCollection 2023.
9
Computed Tomography-Based Stiffness Measures of Trabecular Bone Microstructure: Cadaveric Validation and In Vivo Application.基于计算机断层扫描的小梁骨微结构硬度测量:尸体验证与体内应用
JBMR Plus. 2022 May 5;6(6):e10627. doi: 10.1002/jbm4.10627. eCollection 2022 Jun.
10
Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modeling.基于 CT 成像和连续力学模型的小梁骨微观结构的有限元分析。
Med Phys. 2022 Jun;49(6):3886-3899. doi: 10.1002/mp.15629. Epub 2022 Apr 5.