Masters Theses


"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

Committee Member(s)

Moss, Randy Hays, 1953-
Beetner, Daryl G.


Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering


University of Missouri--Rolla

Publication Date

Fall 2003


viii, 31 pages

Note about bibliography

Includes bibliographical references (pages 28-30).


© 2003 Pavan Kumar Chamarthy, All rights reserved.

Document Type

Thesis - Restricted Access

File Type




Subject Headings

Cervical vertebrae -- Abnormalities -- Diagnosis
Optical pattern recognition
Image analysis

Thesis Number

T 8454

Print OCLC #


Link to Catalog Record

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