Identification of intestinal motility events of capsule endoscopy video analysis

Authors:
Panagiota Spyridonos;Fernando Vilariño;Jordi Vitria;Petia Radeva
Affiliations:
Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, Spain;Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, Spain;Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, Spain;Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, Spain
Venue:
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Year:
2005

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Abstract

In this paper we introduce a system for assisting the analysis of capsule-endoscopy (CE) data, and identifying sequences of frames related to small intestine motility. The imbalanced recognition task of intestinal contractions was addressed by employing an efficient two-level video analysis system. At the first level, each video was processed resulting in a number of possible sequences of contractions. In the second level, the recognition of contractions was carried out by means of a SVM classifier. To encode patterns of intestinal motility a panel of textural and morphological features of the intestine lumen were extracted. The system exhibited an overall sensitivity of 73.53% in detecting contractions. The false alarm ratio was of the order of 59.92%. These results serve as a first step for developing assisting tools for computer based CE video analysis, reducing drastically the physician’s time spent in image evaluation and enhancing the diagnostic potential of CE examination.