Paper
25 March 1976 Application Of Digital Image Change Detection To Diagnosis And Follow-Up Of Cancer Involving The Lungs
J. H. Kinsey, B. D. Vannelli, R. S. Fontana, W. E. Miller, S. A. Johnson, B. K. Gilbert
Author Affiliations +
Proceedings Volume 0070, Application of Optical Instrumentation in Medicine IV; (1976) https://doi.org/10.1117/12.954577
Event: Application of Optical Instrumentation in Medicine, IV, 1975, Atlanta, United States
Abstract
The difference image produced by digitally subtracting one member of a pair of sequential PA chest radiographs from the other has been investigated as a possible tool for detecting primary lung cancer and for measuring response to treatment of cancer that is metastatic to the lungs. The resultant images show a variation from a uniform neutral gray level wherever significant changes exist between conjugate regions on the two x-rays; such changes occur, for example, when a lesion has grown during the interval between the two radiographic examinations. Such difference images might improve the ability of the radiologist to locate clinically significant features in the original radiographs, which might otherwise be overlooked because of the faintness of the detail. Certain demands of the process place restrictions on the repeatability of patient positioning during X-ray exposure. A method is suggested for facilitating more exact repositioning and also for producing usable difference images directly.
© (1976) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. H. Kinsey, B. D. Vannelli, R. S. Fontana, W. E. Miller, S. A. Johnson, and B. K. Gilbert "Application Of Digital Image Change Detection To Diagnosis And Follow-Up Of Cancer Involving The Lungs", Proc. SPIE 0070, Application of Optical Instrumentation in Medicine IV, (25 March 1976); https://doi.org/10.1117/12.954577
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Cited by 16 scholarly publications.
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KEYWORDS
Image processing

Lung cancer

Radiography

Lung

Image registration

Digital imaging

Cancer

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