The development of imaging techniques for analyzing cervical and lumbar vertebrae
Keywords and Phrases
"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, leaf iii.
Stanley, R. Joe
Stoecker, William V.
Moss, Randy Hays, 1953-
Electrical and Computer Engineering
M.S. in Computer Engineering
Missouri University of Science and Technology
ix, 53 leaves
© 2008 Prathyusha Lingambhotla, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Cervical vertebrae -- Abnormalities -- Diagnosis
Image processing -- Digital techniques
Spine -- Radiography
Vertebrae -- Abnormalities -- Diagnosis
Print OCLC #
Link to Catalog Record
Lingambhotla, Prathyusha, "The development of imaging techniques for analyzing cervical and lumbar vertebrae" (2008). Masters Theses. 48.
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