Computer-aided diagnosis (CAD) for colonoscopy

Jia Gu; Allen Poirson

doi:10.1117/12.709001

30 March 2007 Computer-aided diagnosis (CAD) for colonoscopy

Jia Gu, Allen Poirson

Proceedings Volume 6514, Medical Imaging 2007: Computer-Aided Diagnosis; 65142J (2007) https://doi.org/10.1117/12.709001
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Colorectal cancer is the second leading cause of cancer deaths, and ranks third for new cancer cases and cancer mortality for both men and women. However, its death rate can be dramatically reduced by appropriate treatment when early detection is available. The purpose of colonoscopy is to identify and assess the severity of lesions, which may be flat or protruding. Due to the subjective nature of the examination, colonoscopic proficiency is highly variable and dependent upon the colonoscopist's knowledge and experience. An automated image processing system providing an objective, rapid, and inexpensive analysis of video from a standard colonoscope could provide a valuable tool for screening and diagnosis. In this paper, we present the design, functionality and preliminary results of its Computer-Aided-Diagnosis (CAD) system for colonoscopy - ColonoCAD^TM. ColonoCAD is a complex multi-sensor, multi-data and multi-algorithm image processing system, incorporating data management and visualization, video quality assessment and enhancement, calibration, multiple view based reconstruction, feature extraction and classification. As this is a new field in medical image processing, our hope is that this paper will provide the framework to encourage and facilitate collaboration and discussion between industry, academia, and medical practitioners.

Citation Download Citation

Jia Gu and Allen Poirson "Computer-aided diagnosis (CAD) for colonoscopy", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65142J (30 March 2007); https://doi.org/10.1117/12.709001

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