"Image analysis techniques are introduced for evaluating disc space narrowing of cervical vertebrae interfaces from x-ray images. Four scale-invariant, distance transform- based features are presented for characterizing the spacing between adjacent vertebrae. K-means and self-organizing map clustering techniques are applied to estimate the degree of disc space narrowing using a four grade (0-3) scoring system, where 0 and 3 represent normal spacing and significant narrowing, respectively. For a data set of 294 vertebrae interfaces, experimental results yield average correct grade assignment of greater than 82.10% for each of the four grades using a one-grade window around the correct grade"--Abstract, page iii.
Stanley, R. Joe
Moss, Randy Hays, 1953-
Beetner, Daryl G.
Electrical and Computer Engineering
M.S. in Electrical Engineering
University of Missouri--Rolla
viii, 31 pages
© 2003 Pavan Kumar Chamarthy, All rights reserved.
Thesis - Restricted Access
Cervical vertebrae -- Abnormalities -- Diagnosis
Optical pattern recognition
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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=b5090484~S5
Chamarthy, Pavan Kumar, "Image analysis techniques for characterizing disc space narrowing in cervical vertebra interfaces" (2003). Masters Theses. 2467.
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