Paper
28 January 2015 A 3D endoscopy reconstruction as a saliency map for analysis of polyp shapes
Josue Ruano, Fabio Martínez, Martín Gómez, Eduardo Romero
Author Affiliations +
Proceedings Volume 9287, 10th International Symposium on Medical Information Processing and Analysis; 928718 (2015) https://doi.org/10.1117/12.2073842
Event: Tenth International Symposium on Medical Information Processing and Analysis, 2014, Cartagena de Indias, Colombia
Abstract
A first diagnosis of colorectal cancer is performed by examination of polyp shape and appearance during an endoscopy routine procedure. However, the video-endoscopy is highly noisy because exacerbated physiological conditions like increased motility or secretion may limit the visual analysis of lesions. In this work a 3D reconstruction of the digestive tract is proposed, facilitating the polyp shape evaluation by highlighting its surface geometry and allowing an analysis from different perspectives. The method starts by a spatio-temporal map, constructed to group the different regions of the tract by their similar dynamic patterns during the sequence. Then, such map was convolved with a second derivative of a Gaussian kernel that emulates the camera distortion and allows to highlight the polyp surface. The position initialization in each frame of the kernel was computed from expert manual delineation and propagated along the sequence based on. Results show reliable reconstructions, with a salient 3D polyp structure that can then be better observed.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Josue Ruano, Fabio Martínez, Martín Gómez, and Eduardo Romero "A 3D endoscopy reconstruction as a saliency map for analysis of polyp shapes", Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 928718 (28 January 2015); https://doi.org/10.1117/12.2073842
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KEYWORDS
Endoscopy

Cameras

Shape analysis

Distortion

Motion analysis

Visualization

Colorectal cancer

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