Masters Theses

Keywords and Phrases

Osteophytes

Abstract

"Image analysis techniques are developed for detection and analysis of osteophytes in cervical and lumbar vertebrae. Detection of osteophytes helps in identifying conditions of arthritis such as osteoarthritis and osteoporosis. A size-invariant feature based on disc space narrowing for the detection of claw in cervical vertebrae is introduced. Using K-means clustering, the proposed feature, along with the previously developed size invariant features, is used for the detection of claw in cervical vertebrae.

A three-dimensional (3D) model for normal lumbar vertebrae, L1-L5, is developed from computerized tomography (CT) scans. Using the models as a reference, techniques are explored to estimate the orientation angles of individual vertebrae from two-dimensional lumbar X-rays. Experimental results are presented, and the scope of future work is discussed"--Abstract, page iii.

Advisor(s)

Stanley, R. Joe

Committee Member(s)

Stoecker, William V.
Moss, Randy Hays, 1953-

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2008

Pagination

ix, 53 pages

Note about bibliography

Includes bibliographical references (pages 51-52)

Rights

© 2008 Prathyusha Lingambhotla, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Subject Headings

Cervical vertebrae -- Abnormalities -- Diagnosis
Image processing -- Digital techniques
Spine -- Radiography
Vertebrae -- Abnormalities -- Diagnosis

Thesis Number

T 9384

Print OCLC #

261342607

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