Shape estimation of gastrointestinal polyps using motion information

Josue Ruano; Fabio Martinez; Martin Gomez; Eduardo Romero

doi:10.1117/12.2035425

19 November 2013 Shape estimation of gastrointestinal polyps using motion information

Josue Ruano, Fabio Martinez, Martin Gomez, Eduardo Romero

Proceedings Volume 8922, IX International Seminar on Medical Information Processing and Analysis; 89220N (2013) https://doi.org/10.1117/12.2035425
Event: IX International Seminar on Medical Information Processing and Analysis, 2013, Mexico City, Mexico

Abstract

Polyp size quanti cation is currently the main variable for deciding the patient treatment during an endoscopic procedure. Nowadays, the polyp size is estimated by an expert, even when using devices that are provided with calibrated grids. As such estimation is highly subjective, automatic approaches have come to be appealing but also challenging because the polyp shape and appearance variability, the di erent types of motion present during the capture and the specular highlight noise. This work presents a novel approach to automatically estimate gastrointestinal polyp shapes in a video endoscopic sequence using spatiotemporal information. For doing so, a local spatio temporal descriptor is built up to obtain an initial segmentation since the polyp is the region with more movement. Then, an initial polyp manual segmentation outlines a region of interest (RoI) in the rst frame of the sequence and used as a reference for the polyp tracking during the sequence. Afterward, an exhaustive cross-correlation of the initial shape is carried out along the sequence and fused with the motion descriptor to re ne the original segmentation. The proposed approach was evaluated in 15 real video sequences achieving an average DSC score of 0:67% .

Citation Download Citation

Josue Ruano, Fabio Martinez, Martin Gomez, and Eduardo Romero "Shape estimation of gastrointestinal polyps using motion information", Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220N (19 November 2013); https://doi.org/10.1117/12.2035425

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