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Proceedings Paper

Comparison of methods for quantitative evaluation of endoscopic distortion
Author(s): Quanzeng Wang; Kurt Castro; Viraj N. Desai; Wei-Chung Cheng; Joshua Pfefer
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Paper Abstract

Endoscopy is a well-established paradigm in medical imaging, and emerging endoscopic technologies such as high resolution, capsule and disposable endoscopes promise significant improvements in effectiveness, as well as patient safety and acceptance of endoscopy. However, the field lacks practical standardized test methods to evaluate key optical performance characteristics (OPCs), in particular the geometric distortion caused by fisheye lens effects in clinical endoscopic systems. As a result, it has been difficult to evaluate an endoscope’s image quality or assess its changes over time. The goal of this work was to identify optimal techniques for objective, quantitative characterization of distortion that are effective and not burdensome. Specifically, distortion measurements from a commercially available distortion evaluation/correction software package were compared with a custom algorithm based on a local magnification (ML) approach. Measurements were performed using a clinical gastroscope to image square grid targets. Recorded images were analyzed with the ML approach and the commercial software where the results were used to obtain corrected images. Corrected images based on the ML approach and the software were compared. The study showed that the ML method could assess distortion patterns more accurately than the commercial software. Overall, the development of standardized test methods for characterizing distortion and other OPCs will facilitate development, clinical translation, manufacturing quality and assurance of performance during clinical use of endoscopic technologies.

Paper Details

Date Published: 18 March 2015
PDF: 7 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94123A (18 March 2015); doi: 10.1117/12.2082077
Show Author Affiliations
Quanzeng Wang, U.S. Food and Drug Administration (United States)
Kurt Castro, U.S. Food and Drug Administration (United States)
George Washington Univ. (United States)
Viraj N. Desai, U.S. Food and Drug Administration (United States)
Univ. of Maryland, College Park (United States)
Wei-Chung Cheng, U.S. Food and Drug Administration (United States)
Joshua Pfefer, U.S. Food and Drug Administration (United States)

Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)

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