Normalized cuts in 3-D for spinal MRI segmentation

被引：111

作者：

Carballido-Gamio, J

Belongie, SJ

Majumdar, S ^{[1
]}

机构：

[1] Univ Calif San Francisco, Joint Grad Grp Bioengn, San Francisco, CA 94143 USA

[2] Univ Calif Berkeley, San Francisco, CA 94143 USA

[3] Univ Calif San Diego, Dept Comp Sci & Engn, San Diego, CA 92037 USA

[4] Univ Calif Berkeley, Dept Bioengn, Berkeley, CA 94720 USA

[5] Univ Calif San Francisco, Dept Radiol, San Francisco, CA 94143 USA

[6] Univ Calif San Francisco, Dept Orthoped Surg, San Francisco, CA 94143 USA

[7] Univ Calif San Francisco, Dept Growth & Dev, San Francisco, CA 94143 USA

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2004年 / 23卷 / 01期

关键词：

magnetic resonance imaging (MRI); Normalized Cuts (NCut); Nystrom approximation method; segmentation; spine;

D O I：

10.1109/TMI.2003.819929

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Segmentation of medical images has become an indispensable process to perform quantitative analysis of images of human organs and their functions. Normalized Cuts (NCut) is a spectral graph theoretic method that readily admits combinations of different features for image segmentation. The computational demand imposed by NCut has been successfully alleviated with the Nystrom approximation method for applications different than medical imaging. In this paper we discuss the application of NCut with the Nystrom approximation method to segment vertebral bodies from sagittal T1-weighted magnetic resonance images of the spine. The magnetic resonance images were preprocessed by the anisotropic diffusion algorithm, and three-dimensional local histograms of brightness was chosen as the segmentation feature. Results of the segmentation as well as limitations and challenges in this area are presented.

引用

页码：36 / 44

页数：9

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