Masters Theses
Keywords and Phrases
3-D Registration; Computed Tomography; Medical Imaging
Abstract
"In medical imaging it is a very common practice to use a technique known as Time-Step imaging in patients who might develop cancer. Time-Step imaging it a very powerful technique, however it can lead to unmanageable amounts of image data. Previously the only way to search all of this data was to manually look through all of the files. This had to be done by trained professionals who knew what to look for within the images and make a judgment about the patient based on the images. This paper discusses the development of an algorithm to have a computer search through these data files, and only surface the patients and images that have a high probability of having cancer. This allows the trained professionals to spend more time closely analyzing the few images that were marked as high risk."--Abstract, page iii.
Advisor(s)
Lee, Hyoung Koo
Committee Member(s)
Alajo, Ayodeji Babatunde
Liu, Xin
Department(s)
Nuclear Engineering and Radiation Science
Degree Name
M.S. in Nuclear Engineering
Sponsor(s)
U.S. Nuclear Regulatory Commission
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2015
Pagination
viii, 24 pages
Note about bibliography
Includes bibliographical references (page 23).
Rights
© 2015 Jonathan T. Scott, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Mouth -- Cancer -- Diagnosis
Tomography
Diagnostic imaging -- Data processing
Thesis Number
T 10695
Electronic OCLC #
913515639
Link to Catalog Record
Recommended Citation
Scott, Jonathan T., "Computer aided diagnosis of oral cancer: Using time-step CT images" (2015). Masters Theses. 7417.
https://scholarsmine.mst.edu/masters_theses/7417
Included in
Bioimaging and Biomedical Optics Commons, Electrical and Computer Engineering Commons, Nuclear Engineering Commons, Radiology Commons