Automated frame selection process for analyzing high resolution microendoscope images

Ayumu Ishijima; Sharon Mondrik; Richard A. Schwarz; Nadarajah Vigneswaran; Ann M. Gillenwater; Rebecca Richards-Kortum

doi:10.1117/12.2062586

19 May 2014 Automated frame selection process for analyzing high resolution microendoscope images

Ayumu Ishijima, Sharon Mondrik, Richard A. Schwarz, Nadarajah Vigneswaran, Ann M. Gillenwater, Rebecca Richards-Kortum

Proceedings Volume 9155, Translational Biophotonics; 91551M (2014) https://doi.org/10.1117/12.2062586
Event: SPIE Translational Biophotonics, 2014, Houston, Texas, United States

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.

Citation Download Citation

Ayumu Ishijima, Sharon Mondrik, Richard A. Schwarz, Nadarajah Vigneswaran, Ann M. Gillenwater, and Rebecca Richards-Kortum "Automated frame selection process for analyzing high resolution microendoscope images", Proc. SPIE 9155, Translational Biophotonics, 91551M (19 May 2014); https://doi.org/10.1117/12.2062586

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