Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection
Visualization of the entire length of the gastrointestinal tract through natural orifices is a challenge for endoscopists. Videoendoscopy is currently the “gold standard” technique for diagnosis of different pathologies of the intestinal tract. Wireless capsule endoscopy (WCE) has been developed in...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2014/428583 |
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| author | L. Meziou A. Histace F. Precioso O. Romain X. Dray B. Granado B. J. Matuszewski |
| author_facet | L. Meziou A. Histace F. Precioso O. Romain X. Dray B. Granado B. J. Matuszewski |
| author_sort | L. Meziou |
| collection | DOAJ |
| description | Visualization of the entire length of the gastrointestinal tract through natural orifices is a challenge for endoscopists. Videoendoscopy is currently the “gold standard” technique for diagnosis of different pathologies of the intestinal tract. Wireless capsule endoscopy (WCE) has been developed in the 1990s as an alternative to videoendoscopy to allow direct examination of the gastrointestinal tract without any need for sedation. Nevertheless, the systematic postexamination by the specialist of the 50,000 (for the small bowel) to 150,000 images (for the colon) of a complete acquisition using WCE remains time-consuming and challenging due to the poor quality of WCE images. In this paper, a semiautomatic segmentation for analysis of WCE images is proposed. Based on active contour segmentation, the proposed method introduces alpha-divergences, a flexible statistical similarity measure that gives a real flexibility to different types of gastrointestinal pathologies. Results of segmentation using the proposed approach are shown on different types of real-case examinations, from (multi)polyp(s) segmentation, to radiation enteritis delineation. |
| format | Article |
| id | doaj-art-79cbbe42a8a742e18bb01f7c3dce54dd |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-79cbbe42a8a742e18bb01f7c3dce54dd2025-02-03T00:59:09ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962014-01-01201410.1155/2014/428583428583Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies DetectionL. Meziou0A. Histace1F. Precioso2O. Romain3X. Dray4B. Granado5B. J. Matuszewski6ETIS, Université de Cergy-Pontoise, ENSEA, CNRS, 95014 Cergy-Pontoise Cedex, FranceETIS, Université de Cergy-Pontoise, ENSEA, CNRS, 95014 Cergy-Pontoise Cedex, FranceI3S, Université de Nice/Sophia-Antipolis, CNRS, 06900 Sophia-Antipolis, FranceETIS, Université de Cergy-Pontoise, ENSEA, CNRS, 95014 Cergy-Pontoise Cedex, FranceETIS, Université de Cergy-Pontoise, ENSEA, CNRS, 95014 Cergy-Pontoise Cedex, FranceLIP6, Université Pierre et Marie Curie, CNRS, 75252 Paris, FranceRobotics and Computer Vision Research Laboratory, School of Computing Engineering and Physical Sciences, University of Central Lancashire, Preston PR1 2HE, UKVisualization of the entire length of the gastrointestinal tract through natural orifices is a challenge for endoscopists. Videoendoscopy is currently the “gold standard” technique for diagnosis of different pathologies of the intestinal tract. Wireless capsule endoscopy (WCE) has been developed in the 1990s as an alternative to videoendoscopy to allow direct examination of the gastrointestinal tract without any need for sedation. Nevertheless, the systematic postexamination by the specialist of the 50,000 (for the small bowel) to 150,000 images (for the colon) of a complete acquisition using WCE remains time-consuming and challenging due to the poor quality of WCE images. In this paper, a semiautomatic segmentation for analysis of WCE images is proposed. Based on active contour segmentation, the proposed method introduces alpha-divergences, a flexible statistical similarity measure that gives a real flexibility to different types of gastrointestinal pathologies. Results of segmentation using the proposed approach are shown on different types of real-case examinations, from (multi)polyp(s) segmentation, to radiation enteritis delineation.http://dx.doi.org/10.1155/2014/428583 |
| spellingShingle | L. Meziou A. Histace F. Precioso O. Romain X. Dray B. Granado B. J. Matuszewski Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection International Journal of Biomedical Imaging |
| title | Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection |
| title_full | Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection |
| title_fullStr | Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection |
| title_full_unstemmed | Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection |
| title_short | Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection |
| title_sort | computer assisted segmentation of videocapsule images using alpha divergence based active contour in the framework of intestinal pathologies detection |
| url | http://dx.doi.org/10.1155/2014/428583 |
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