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Wireless Capsule Endoscopy (WCE) is a device that allows the direct visualization of gastrointestinal tract with minimal discomfort for the patient, but at the price of a large amount of time for screening. In order to reduce this time, several works have proposed to automatically remove all the frames showing intestinal content. These methods label frames as fintestinal content - clearg without discriminating between types of content (with different physiological meaning) or the portion of image covered. In addition, since the presence of intestinal content has been identified as an indicator of intestinal motility, its accurate quantification can show a potential clinical relevance. In this paper, we present a method for the robust detection and segmentation of intestinal content in WCE images, together with its further discrimination between turbid liquid and bubbles. Our proposal is based on a twofold system. First, frames presenting intestinal content are detected by a SVM classifier using color and textural information. Secondly, intestinal content frames are segmented into fturbid, bubbles and clearg regions. We show a detailed validation using a large dataset. Our system outperforms previous methods and, for a first time, discriminates between turbid from bubbles media.

Citation

S Segui, M Drozdzal, F Vilarino, C Malagelada, F Azpiroz, P Radeva, J Vitria. Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy. IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society. 2012 Oct 2


PMID: 23047882

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