期刊
IEEE TRANSACTIONS ON MEDICAL IMAGING
卷 23, 期 1, 页码 36-44出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMI.2003.819929
关键词
magnetic resonance imaging (MRI); Normalized Cuts (NCut); Nystrom approximation method; segmentation; spine
类别
资金
- NIA NIH HHS [NIA-R01-AG17762] Funding Source: Medline
- NATIONAL INSTITUTE ON AGING [R01AG017762] Funding Source: NIH RePORTER
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.
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