Masters Theses
Abstract
"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.
Advisor(s)
Stanley, R. Joe
Committee Member(s)
Moss, Randy Hays, 1953-
Beetner, Daryl G.
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Publisher
University of Missouri--Rolla
Publication Date
Fall 2003
Pagination
viii, 31 pages
Note about bibliography
Includes bibliographical references (pages 28-30).
Rights
© 2003 Pavan Kumar Chamarthy, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Subject Headings
Cervical vertebrae -- Abnormalities -- DiagnosisOptical pattern recognitionImage analysis
Thesis Number
T 8454
Print OCLC #
55490686
Recommended Citation
Chamarthy, Pavan Kumar, "Image analysis techniques for characterizing disc space narrowing in cervical vertebra interfaces" (2003). Masters Theses. 2467.
https://scholarsmine.mst.edu/masters_theses/2467
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