CHSJ

Curr Health Sci J, vol. 43, no. 1, 2017

Telangiectasia Detection in Wireless Capsule Endoscopy Using the Color Slicing Technique

[Original Paper]

MIHAELA IONESCU(1), C.T. STREBA(2), C.C. VERE(3), A.G. IONESCU(4), I. ROGOVEANU(3)


(1)Department of Medical Informatics, University of Medicine and Pharmacy of Craiova, Romania,
(2)Research Center of Gastroenterology and Hepatology & Department of Scientific Methodology, University of Medicine and Pharmacy of Craiova, Romania,
(3)Research Center of Gastroenterology and Hepatology & Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, Romania,
(4)Department of Medical History, University of Medicine and Pharmacy of Craiova, Romania


Abstract:

Wireless capsule endoscopy represents a color imaging technology in the field of medical endoscopy that is extensively used to detect lesions of the human digestive tract. It is the golden standard in evaluating small bowel lesions, offering a set of digital snapshots difficult to get using other investigation methods. Its major drawbacks are the time consumed for image analysis and the burden for the physicians that must spot and classify lesions within more than 55000 images. This paper carries out a study on the detection of telangiectasia in the small bowel, based on an adapted color slicing technique applied not only on unique frames, but on series of successive frames, performing a global analysis suitable on partial sequences or entire wireless capsule endoscopy movies. We have quantified the extracted features and determined a weighting algorithm to find telangiectasia lesions. For frames containing potential lesions, we have determined features not only for the global image, but also for the normal mucosa surrounding the lesion extracted from the image. This approach allows the physician to see variations of parameters within a frame or a sequence that contains lesions. Experimental results prove that the algorithm is effective in detecting telangiectasia patterns of different images, with an accuracy of 93.88%, reducing thus the time spent for the analysis of the images acquired by wireless capsule endoscopy.


Keywords: Wireless Capsule Endoscopy, telangiectasia detection, color slicing technique, medical image analysis



Corresponding: Ionescu Alin Gabriel, Department of Medical History, University of Medicine and Pharmacy of Craiova, Petru Rares St No 2, Craiova Romania, e-mail: alinionescu81@yahoo.com


DOI 10.12865/CHSJ.43.01.04 - Download PDF
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