Visibility map: A new method in evaluation quality of optical colonoscopy

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Abstract

Optical colonoscopy is performed by insertion of a long flexible endoscope into the colon. Inspecting the whole colonic surface for abnormalities has been a main concern in estimating quality of a colonoscopy procedure. In this paper we aim to estimate areas that have not been inspected thoroughly as a quality metric by generating a visibility map of the colon surface. The colon was modeled as a cylinder. By estimating the camera motion parameters between each consecutive frame, circumferential bands from the cylinder of the colon surface were extracted. Registering these extracted band images from adjacent video frames provide a visibility map, which could reveal uncovered areas by clinicians from colonoscopy videos. The method was validated using a set of realistic videos generated using a colonoscopy simulator for which the ground truth was known, and by analyzing results from processing actual colonoscopy videos by a clinical expert. Our method was able to identify 100% of uncovered areas on simulated data and achieved with sensitivity of 96% and precision of 74% on real videos. The results suggest that visibility map can increase clinicians’ awareness of uncovered areas, and would reduce the chance of missed polyps.

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Armin, M. A., De Visser, H., Chetty, G., Dumas, C., Conlan, D., Grimpen, F., & Salvado, O. (2015). Visibility map: A new method in evaluation quality of optical colonoscopy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9349, pp. 396–404). Springer Verlag. https://doi.org/10.1007/978-3-319-24553-9_49

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