Image analysis techniques for characterizing disc space narrowing in cervical vertebra interfaces

Author

Pavan Kumar Chamarthy

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 -- Diagnosis
Optical pattern recognition
Image analysis

Thesis Number

T 8454

Print OCLC #

55490686

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.

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