Automated frame selection process for high-resolution microendoscopy.
We developed an automated frame selection algorithm for high-resolution microendoscopy video sequences. 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 algorithm was evaluated by quantitative comparison of diagnostically relevant image features and diagnostic classification results obtained using automated frame selection versus manual frame selection. A data set consisting of video sequences collected in vivo from 100 oral sites and 167 esophageal sites was used in the analysis. The area under the receiver operating characteristic curve was 0.78 (automated selection) versus 0.82 (manual selection) for oral sites, and 0.93 (automated selection) versus 0.92 (manual selection) for esophageal sites. 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.
Rice University, Department of Bioengineering MS 142, 6100 Main Street, Houston, Texas 77005, United StatesbUniversity of Tokyo, Department of Precision Engineering, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Ayumu
A
Ishijima
Rice University, Department of Bioengineering MS 142, 6100 Main Street, Houston, Texas 77005, United States.
Richard A
RA
Schwarz
Rice University, Department of Bioengineering MS 142, 6100 Main Street, Houston, Texas 77005, United States.
Dongsuk
D
Shin
Rice University, Department of Bioengineering MS 142, 6100 Main Street, Houston, Texas 77005, United States.
Sharon
S
Mondrik
University of Texas School of Dentistry, 7500 Cambridge Street, Houston, Texas 77054, United States.
Nadarajah
N
Vigneswaran
University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030, United States.
Ann M
AM
Gillenwater
Mount Sinai Medical Center, Division of Gastroenterology, One Gustave L. Levy Place, New York, New York 10029, United States.
Sharmila
S
Anandasabapathy
Rice University, Department of Bioengineering MS 142, 6100 Main Street, Houston, Texas 77005, United States.
Rebecca
R
Richards-Kortum
D016099:Endoscopy, Gastrointestinal / Q000379:methods*; D004938:Esophageal Neoplasms / Q000473:pathology; D004947:Esophagus / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008853:Microscopy; D012372:ROC Curve