NDLI: A new shape based segmentation framework using statistical and variational methods

Content Provider	IEEE Xplore Digital Library
Author	Asian, M.S. Abdelmunim, H. Farag, A.A. Arnold, B. Mostafa, E. Ping Xiang
Copyright Year	2011
Description	Author affiliation: Image Analysis, Inc., 1380 Burkesville St., Columbia, KY, 42728, USA (Arnold, B.; Ping Xiang) \|\| Computer Vision and Image Processing Lab., University of Louisville, Louisville, KY, 40299, USA (Asian, M.S.; Farag, A.A.; Mostafa, E.) \|\| Computer and Systems Engineering Department, Ain Shams University, Cairo, Egypt (Abdelmunim, H.)
Abstract	In this paper, we propose a new shape based segmentation and registration of the vertebral bodies (VBs) in clinical computed tomography (CT) images. The VB and surrounding organs have very close gray level information and there are no strong edges in some CT images. To overcome these challenges, image appearance and shape information of VBs are used. There are three phases of our experiments: i) the detection of the VB region using the Matched filter, ii) initial segmentation using the graph cuts which integrates the intensity and spatial interaction models, iii) registration of the shape priors and initially segmented region to obtain the final segmentation. Preliminary results show that our proposed algorithm gives very encouraging results and can solve many segmentation and registration problems.
Starting Page	717
Ending Page	720
File Size	1804510
Page Count	4
File Format	PDF
ISBN	9781457713040
ISSN	15224880
e-ISBN	9781457713033
e-ISBN	9781457713026
DOI	10.1109/ICIP.2011.6116654
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-11
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Shape Training Computed tomography Bones Accuracy Vectors shape based segmentation and registration Spine Bone Vertebral Body (VB)
Content Type	Text
Resource Type	Article

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