Keywords and Phrases
Live wire segmentation tool; Osteophytes
"Computer-assisted image segmentation can be a challenging problem. In previous research, manual segmentation was used for the detection of key features in cervical and lumbar x-ray images. In this research, a semi-automated live wire technique is investigated and is evaluated for the detection of anterior osteophytes in lumbar vertebrae. Convex hull-based features are extracted from manual and live wire segmented vertebrae for anterior osteophyte discrimination over 405 lumbar vertebrae, 204 abnormal vertebrae with anterior osteophytes and 201 normal vertebrae. A leave-one-out standard back propagation neural network was used for vertebrae classification. Experimental results show that manual segmentation yielded slightly better discrimination results than the live wire technique."--Abstract, page iii.
Stanley, R. Joe
Moss, Randy Hays, 1953-
Agarwal, Sanjeev, 1971-
Electrical and Computer Engineering
M.S. in Electrical Engineering
University of Missouri--Rolla
viii, 40 pages
© 2004 Suren Eda Naarayana Kulothungan, All rights reserved.
Thesis - Restricted Access
Osteoarthritis -- Diagnosis -- Research
Lumbar vertebrae -- Imaging
Computer vision in medicine
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Link to Catalog Record
Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu/record=b5409709~S5
Kulothungan, Suren Eda Naarayana, "Live wire segmentation tool for osteophyte detection in lumbar spine x-ray images" (2004). Masters Theses. 3695.
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