• 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

3D CT 和 MR 脊柱图像中椎体的参数化建模与分割。

Parametric modelling and segmentation of vertebral bodies in 3D CT and MR spine images.

机构信息

Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, SI-1000 Ljubljana, Slovenia.

出版信息

Phys Med Biol. 2011 Dec 7;56(23):7505-22. doi: 10.1088/0031-9155/56/23/011. Epub 2011 Nov 11.

DOI:10.1088/0031-9155/56/23/011
PMID:22080628
Abstract

Accurate and objective evaluation of vertebral deformations is of significant importance in clinical diagnostics and therapy of pathological conditions affecting the spine. Although modern clinical practice is focused on three-dimensional (3D) computed tomography (CT) and magnetic resonance (MR) imaging techniques, the established methods for evaluation of vertebral deformations are limited to measuring deformations in two-dimensional (2D) x-ray images. In this paper, we propose a method for quantitative description of vertebral body deformations by efficient modelling and segmentation of vertebral bodies in 3D. The deformations are evaluated from the parameters of a 3D superquadric model, which is initialized as an elliptical cylinder and then gradually deformed by introducing transformations that yield a more detailed representation of the vertebral body shape. After modelling the vertebral body shape with 25 clinically meaningful parameters and the vertebral body pose with six rigid body parameters, the 3D model is aligned to the observed vertebral body in the 3D image. The performance of the method was evaluated on 75 vertebrae from CT and 75 vertebrae from T(2)-weighted MR spine images, extracted from the thoracolumbar part of normal and pathological spines. The results show that the proposed method can be used for 3D segmentation of vertebral bodies in CT and MR images, as the proposed 3D model is able to describe both normal and pathological vertebral body deformations. The method may therefore be used for initialization of whole vertebra segmentation or for quantitative measurement of vertebral body deformations.

摘要

准确客观地评估椎体变形对于脊柱病变的临床诊断和治疗具有重要意义。尽管现代临床实践主要集中在三维(3D)计算机断层扫描(CT)和磁共振(MR)成像技术上,但评估椎体变形的既定方法仅限于在二维(2D)X 射线图像中测量变形。在本文中,我们提出了一种通过 3D 中椎体的高效建模和分割来定量描述椎体变形的方法。通过引入变换来评估变形,这些变换可以更详细地表示椎体形状,从而对 3D 超二次模型的参数进行评估。该模型将椎体形状建模为 25 个具有临床意义的参数,并将椎体姿势建模为 6 个刚体参数,然后将 3D 模型与 3D 图像中观察到的椎体对齐。该方法在 CT 上的 75 个椎体和 T2 加权 MR 脊柱图像上的 75 个椎体上进行了评估,这些椎体取自正常和病理脊柱的胸腰椎部分。结果表明,该方法可用于 CT 和 MR 图像中椎体的 3D 分割,因为所提出的 3D 模型能够描述正常和病理椎体的变形。因此,该方法可用于整个椎体分割的初始化或椎体变形的定量测量。

相似文献

1
Parametric modelling and segmentation of vertebral bodies in 3D CT and MR spine images.3D CT 和 MR 脊柱图像中椎体的参数化建模与分割。
Phys Med Biol. 2011 Dec 7;56(23):7505-22. doi: 10.1088/0031-9155/56/23/011. Epub 2011 Nov 11.
2
Parametric modeling of the intervertebral disc space in 3D: application to CT images of the lumbar spine.三维椎间盘间隙的参数化建模:应用于腰椎CT图像
Comput Med Imaging Graph. 2014 Oct;38(7):596-605. doi: 10.1016/j.compmedimag.2014.04.008. Epub 2014 May 14.
3
Multi-Modality Vertebra Recognition in Arbitrary Views Using 3D Deformable Hierarchical Model.多模态任意视角椎体识别的三维可变形层次模型
IEEE Trans Med Imaging. 2015 Aug;34(8):1676-93. doi: 10.1109/TMI.2015.2392054. Epub 2015 Jan 14.
4
Fully Automatic Localization and Segmentation of 3D Vertebral Bodies from CT/MR Images via a Learning-Based Method.基于学习的方法从CT/MR图像中全自动定位和分割三维椎体
PLoS One. 2015 Nov 23;10(11):e0143327. doi: 10.1371/journal.pone.0143327. eCollection 2015.
5
Quantitative vertebral morphometry based on parametric modeling of vertebral bodies in 3D.基于椎体三维参数化建模的定量椎体形态计量学。
Osteoporos Int. 2013 Apr;24(4):1357-68. doi: 10.1007/s00198-012-2089-4. Epub 2012 Jul 24.
6
VolHOG: a volumetric object recognition approach based on bivariate histograms of oriented gradients for vertebra detection in cervical spine MRI.VolHOG:一种基于定向梯度二元直方图的体积物体识别方法,用于颈椎MRI中的椎体检测。
Med Phys. 2014 Aug;41(8):082305. doi: 10.1118/1.4890587.
7
Quantitative analysis of spinal curvature in 3D: application to CT images of normal spine.三维脊柱曲率的定量分析:应用于正常脊柱的CT图像
Phys Med Biol. 2008 Apr 7;53(7):1895-908. doi: 10.1088/0031-9155/53/7/006. Epub 2008 Mar 10.
8
A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation.基于自动脊椎和椎体插值的检测和基于模型的分割框架。
IEEE Trans Med Imaging. 2015 Aug;34(8):1649-62. doi: 10.1109/TMI.2015.2389334. Epub 2015 Jan 8.
9
Vertebral body segmentation in wide range clinical routine spine MRI data.大范围临床常规脊柱 MRI 数据中的椎体分割。
Comput Methods Programs Biomed. 2018 Mar;155:93-99. doi: 10.1016/j.cmpb.2017.12.013. Epub 2017 Dec 12.
10
Automated generation of curved planar reformations from MR images of the spine.从脊柱磁共振成像(MR)图像自动生成曲面平面重组图像。
Phys Med Biol. 2007 May 21;52(10):2865-78. doi: 10.1088/0031-9155/52/10/015. Epub 2007 Apr 30.

引用本文的文献

1
The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications.深度学习在医学影像中用于改善脊柱护理:当前文献与临床应用的范围综述
N Am Spine Soc J. 2023 Jun 19;15:100236. doi: 10.1016/j.xnsj.2023.100236. eCollection 2023 Sep.
2
Multi-scanner and multi-modal lumbar vertebral body and intervertebral disc segmentation database.多扫描仪和多模态腰椎椎体和椎间盘分割数据库。
Sci Data. 2022 Mar 23;9(1):97. doi: 10.1038/s41597-022-01222-8.
3
Predicting spinal profile using 3D non-contact surface scanning: Changes in surface topography as a predictor of internal spinal alignment.
使用 3D 非接触式表面扫描预测脊柱轮廓:表面形貌变化作为内部脊柱排列的预测指标。
PLoS One. 2019 Sep 26;14(9):e0222453. doi: 10.1371/journal.pone.0222453. eCollection 2019.
4
Semi-Automatic Segmentation of Vertebral Bodies in MR Images of Human Lumbar Spines.人腰椎磁共振图像中椎体的半自动分割
Appl Sci (Basel). 2018 Sep;8(9). doi: 10.3390/app8091586. Epub 2018 Sep 7.
5
Vertebral body segmentation with : Initial experience, workflow and practical application.椎体分割:初步经验、工作流程及实际应用
SAGE Open Med. 2017 Nov 13;5:2050312117740984. doi: 10.1177/2050312117740984. eCollection 2017.
6
The value of radiographic indexes in the diagnosis of discogenic low back pain: a retrospective analysis of imaging results.影像学指标在椎间盘源性下腰痛诊断中的价值:影像学结果的回顾性分析
Oncotarget. 2017 Jun 27;8(36):60558-60567. doi: 10.18632/oncotarget.18652. eCollection 2017 Sep 1.
7
A multi-center milestone study of clinical vertebral CT segmentation.一项关于临床椎体CT分割的多中心里程碑式研究。
Comput Med Imaging Graph. 2016 Apr;49:16-28. doi: 10.1016/j.compmedimag.2015.12.006. Epub 2016 Jan 2.
8
On computerized methods for spine analysis in MRI: a systematic review.关于磁共振成像中脊柱分析的计算机化方法:一项系统综述。
Int J Comput Assist Radiol Surg. 2016 Aug;11(8):1445-65. doi: 10.1007/s11548-016-1350-2. Epub 2016 Feb 9.
9
Fully Automatic Localization and Segmentation of 3D Vertebral Bodies from CT/MR Images via a Learning-Based Method.基于学习的方法从CT/MR图像中全自动定位和分割三维椎体
PLoS One. 2015 Nov 23;10(11):e0143327. doi: 10.1371/journal.pone.0143327. eCollection 2015.
10
Automated 3D closed surface segmentation: application to vertebral body segmentation in CT images.自动三维封闭曲面分割:在 CT 图像中椎体分割的应用。
Int J Comput Assist Radiol Surg. 2016 May;11(5):789-801. doi: 10.1007/s11548-015-1320-0. Epub 2015 Nov 11.