Near real-time retroflexion detection in colonoscopy

Yi Wang; Wallapak Tavanapong; Johnny Wong; Jung Hwan Oh; Piet C. De Groen

doi:10.1109/TITB.2012.2226595

Near real-time retroflexion detection in colonoscopy

Yi Wang, Wallapak Tavanapong, Johnny Wong, Jung Hwan Oh, Piet C. De Groen

Medicine - Gastro, Hepatology, Nutrition Division

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

Colonoscopy is the most popular screening tool for colorectal cancer. Recent studies reported that retroflexion during colonoscopy helped to detect more polyps. Retroflexion is an endoscope maneuver that enables visualization of internal mucosa along the shaft of the endoscope, enabling visualization of the mucosa area that is difficult to see with typical forward viewing. This paper describes our new method that detects retroflexion during colonoscopy. We propose region shape and location (RSL) features and edgeless edge cross-section profile (ECSP) features that encapsulate important properties of endoscope appearance and edge information during retroflexion. Our experimental results on 50 colonoscopy test videos show that a simple ensemble classifier using both ECSP and RSL features can effectively identify retroflexion in terms of analysis time and detection rate.

Original language	English (US)
Pages (from-to)	143-152
Number of pages	10
Journal	IEEE Journal of Biomedical and Health Informatics
Volume	17
Issue number	1
DOIs	https://doi.org/10.1109/TITB.2012.2226595
State	Published - 2013

Keywords

Colonoscopy
Edge cross-section profile (ECSP)
Medical image analysis
Retroflexion detection

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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AU - Tavanapong, Wallapak

AU - Wong, Johnny

AU - Oh, Jung Hwan

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AB - Colonoscopy is the most popular screening tool for colorectal cancer. Recent studies reported that retroflexion during colonoscopy helped to detect more polyps. Retroflexion is an endoscope maneuver that enables visualization of internal mucosa along the shaft of the endoscope, enabling visualization of the mucosa area that is difficult to see with typical forward viewing. This paper describes our new method that detects retroflexion during colonoscopy. We propose region shape and location (RSL) features and edgeless edge cross-section profile (ECSP) features that encapsulate important properties of endoscope appearance and edge information during retroflexion. Our experimental results on 50 colonoscopy test videos show that a simple ensemble classifier using both ECSP and RSL features can effectively identify retroflexion in terms of analysis time and detection rate.

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Near real-time retroflexion detection in colonoscopy

Abstract

Keywords

UN SDGs

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