CC BY-NC-ND 4.0 · Endosc Int Open 2020; 08(11): E1553-E1559
DOI: 10.1055/a-1261-3349
Original article

Novel polyp detection technology for colonoscopy: 3D optical scanner

Hakki Refai
1  Optecks, LLC, Tulsa, Oklahoma, United States
,
Badia Koudsi
1  Optecks, LLC, Tulsa, Oklahoma, United States
,
Omar Yusef Kudsi
2  Department of Surgery, Good Samaritan Medical Center, Tufts University School of Medicine, Brockton, Massachusetts, United States
› Author Affiliations
  

Abstract

Background and study aims Fifty-eight percent of American adults aged 50 to 75 undergo colonoscopies. Multiple factors result in missed lesions, at a rate of approximately 20 %, potentially subjecting patients to colorectal cancer. We report on use of a miniaturized optical scanner and accompanying processing software capable of detecting, measuring, and locating polyps with sub-millimeter accuracy, all in real time.

Materials and methods A prototype 3 D optical scanner was developed that fits within the dimensions of a standard endoscope. After calibration, the system was evaluated in an ex-vivo porcine colon model, using silicon-made polyps.

Results The average distance between two adjacent points in the 3 D point cloud was 94 µm. The results demonstrate high-accuracy measurements and 3 D models while operating at short distances. The scanner detected 6 mm × 3 mm polyps in every trial and identified polyp location with 95-µm accuracy. Registration errors were less than 0.8 % between point clouds based on physical features.

Conclusion We demonstrated that a novel 3 D optical scanning system improves the performance of colonoscopy procedures by using a combination of 3 D and 2 D optical scanning and fast, accurate software for extracting data and generating models. Further studies of the system are warranted.



Publication History

Received: 18 March 2020

Accepted: 03 August 2020

Publication Date:
21 October 2020 (online)

© 2020. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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