Paper
27 June 1988 Computer-Aided Diagnostic System For Mass Survey Chest Images
Yoshizumi Yasuda, Yasuhiro Kinoshita, Yasufumi Emori, Hitoshi Yoshimura
Author Affiliations +
Abstract
In order to support screening of chest radiographs on mass survey, a computer-aided diagnostic system that automatically detects abnormality of candidate images using a digital image analysis technique has been developed. Extracting boundary lines of lung fields and examining their shapes allowed various kind of abnormalities to be detected. Correction and expansion were facilitated by describing the system control, image analysis control and judgement of abnormality in the rule type programing language. In the experiments using typical samples of student's radiograms, good results were obtained for the detection of abnormal shape of lung field, cardiac hypertrophy and scoliosis. As for the detection of diaphragmatic abnormality, relatively good results were obtained but further improvements will be necessary.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yoshizumi Yasuda, Yasuhiro Kinoshita, Yasufumi Emori, and Hitoshi Yoshimura "Computer-Aided Diagnostic System For Mass Survey Chest Images", Proc. SPIE 0914, Medical Imaging II, (27 June 1988); https://doi.org/10.1117/12.968712
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Cited by 1 scholarly publication.
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KEYWORDS
Lung

Control systems

Image analysis

Computer programming

Chest

Computer programming languages

Medical imaging

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