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Proceedings Paper

Automated frame selection process for analyzing high resolution microendoscope images
Author(s): Ayumu Ishijima; Sharon Mondrik; Richard A. Schwarz; Nadarajah Vigneswaran; Ann M. Gillenwater; Rebecca Richards-Kortum
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Paper Abstract

We developed an automated frame selection algorithm for high resolution microendoscope images. The algorithm rapidly selects a representative frame with minimal motion artifact from a short video sequence, enabling fully automated image analysis at the point-of-care. The performance of the algorithm was evaluated by comparing automatically selected frames to manually selected frames using quantitative image parameters. The implementation of fully automated high-resolution microendoscopy at the point-of-care has the potential to reduce the number of biopsies needed for accurate diagnosis of precancer and cancer in low-resource settings, where there may be limited infrastructure and personnel for standard histologic analysis.

Paper Details

Date Published: 19 May 2014
PDF: 4 pages
Proc. SPIE 9155, Translational Biophotonics, 91551M (19 May 2014); doi: 10.1117/12.2062586
Show Author Affiliations
Ayumu Ishijima, Rice Univ. (United States)
Sharon Mondrik, Rice Univ. (United States)
Richard A. Schwarz, Rice Univ. (United States)
Nadarajah Vigneswaran, The Univ. of Texas School of Dentistry (United States)
Ann M. Gillenwater, The Univ. of Texas M.D. Anderson Cancer Ctr. (United States)
Rebecca Richards-Kortum, Rice Univ. (United States)


Published in SPIE Proceedings Vol. 9155:
Translational Biophotonics
Tomasz S. Tkaczyk, Editor(s)

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