Intestinal event segmentation for endoluminal video analysis

Author

Drozdzal, M. ; Vitria, J. ; Segui, S. ; Malagelada, C. ; Azpiroz, F. ; Radeva, P.

Author_Institution

Comput. Vision Center (CVC), Barcelona, Spain

fYear

2014

fDate

27-30 Oct. 2014

Firstpage

3592

Lastpage

3596

Abstract

In this paper, we tackle the problem of unsupervised segmentation of intestinal events using various motility descriptors extracted from the endoluminal video. The segments of constant intestinal activity are detected with a robust statistical test that is based on Hoeffding´s inequality. The qualitative analysis of the results shows that the segments adjust well to the motility information and thus, this segmentation can constitute basic units for higher-level motility description.

Keywords

biological tissues; biomedical optical imaging; capacitive sensors; endoscopes; image segmentation; image sequences; medical signal processing; motion estimation; patient diagnosis; video signal processing; Hoeffding inequality-based statistical test; constant intestinal activity segments; endoluminal video analysis; endoluminal video-extracted descriptors; higher-level motility description; intestinal activity segment detection; intestinal event segmentation; intestinal motility information; motility descriptors; robust statistical test; unsupervised segmentation; Endoscopes; Image segmentation; Intestines; Partitioning algorithms; Robustness; Streaming media; Wireless communication; Intestinal events; WCE; multivariate data stream; unsupervised segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2014 IEEE International Conference on

Conference_Location

Paris

Type

conf

DOI

10.1109/ICIP.2014.7025729

Filename

7025729