NDLI: Segmentation of vertebrae using level sets with expectation maximization algorithm

Content Provider	IEEE Xplore Digital Library
Author	Aslan, M.S. Farag, A.A. Arnold, B. Ping Xiang
Copyright Year	2011
Description	Author affiliation: Image Analysis, Inc., 1380 Burkesville St., Columbia, KY, 42728, USA (Arnold, B.; Ping Xiang) \|\| University of Louisville, Computer Vision and Image Processing Lab., KY, 40299, USA (Aslan, M.S.; Farag, A.A.)
Abstract	In this paper, we propose a robust level sets method to segment vertebral bodies (VBs) in clinical computed tomography (CT) images. Since the VB and surrounding organs have very close gray level information and there are no strong edges in some CT images, the initialization of level sets method becomes very crucial step. If the object and background regions are not initialized correctly, the results would not be acceptable. Also, the size and place of the initial seed may give non-reproducible results. To solve these problems, we use a statistical level sets method which uses the Expectation- Maximization (EM) algorithm for the initialization and parameter estimation. Validity was analyzed using ground truths of data sets (expert segmentation) and the European Spine Phantom (ESP) as a known reference. The proposed method is compared with other known alternatives.
Starting Page	2010
Ending Page	2013
File Size	971868
Page Count	4
File Format	PDF
ISBN	9781424441273
ISSN	19457928
DOI	10.1109/ISBI.2011.5872806
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Level set Bones Computed tomography Biomedical imaging Robustness Three dimensional displays expectation-maximization Spine bone vertebral body (VB) segmentation statistical level sets
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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