Analysis of Wireless Capsule Endoscopy Images using Local Binary Patterns

Authors

  • Adriana Florentina CONSTANTINESCU University of Medicine and Pharmacy of Craiova
  • Mihaela IONESCU University of Medicine and Pharmacy of Craiova
  • Ion ROGOVEANU University of Medicine and Pharmacy of Craiova
  • Marius Eugen CIUREA University of Medicine and Pharmacy of Craiova
  • Costin Teodor STREBA University of Medicine and Pharmacy of Craiova
  • Vlad Florin IOVANESCU University of Medicine and Pharmacy of Craiova
  • Stefan Alexandru ARTENE University of Medicine and Pharmacy of Craiova
  • Cristin Constantin VERE University of Medicine and Pharmacy of Craiova

Keywords:

Wireless capsule endoscopy, Small bowel diseases, Software applications, Local binary pattern

Abstract

Wireless capsule endoscopy, the gold standard in the screening and diagnosis of small bowel diseases, is one of the most recent investigations for gastrointestinal pathology. This examination has the advantages of being non-invasive, painless, with a large clinical yield, especially for small bowel diseases, but also some disadvantages. The long time necessary for reading and interpreting all frames acquired is one of these disadvantages. This inconvenient could be improved through different methods by using software applications. In this study we have used a software application for texture analysis based on local binary pattern (LBP) operator. This operator detects and removes non-informative frames in a first step, then identifies potential lesions. Our study group consisted of 33 patients from the Gastroenterology and Hepatology Centre Craiova and from the 1st Internal Medicine and Gastroenterology Clinic from the Emergency County Hospital of Craiova. The patients included in the study have corresponded to our inclusion criteria established. The exclusion criteria were represented by the contraindications of the capsule endoscopy. In the first phase of the study, we have removed the non-informative frames from the original videos obtained, and we have acquired an average reduction of 6.96% from the total number of images. In the second phase, using the same LBP operator, we have correctly identified 93.16% of telangiectasia lesions. Our study demonstrated that software applications based on LBP operator can lead to a shorter analysis time, by reducing the overall frames number, and can also provide support in diagnosis.

Author Biographies

Adriana Florentina CONSTANTINESCU, University of Medicine and Pharmacy of Craiova

PhD Student

Mihaela IONESCU, University of Medicine and Pharmacy of Craiova

Medical Informatics Department

Ion ROGOVEANU, University of Medicine and Pharmacy of Craiova

Gastroenterology Department

Marius Eugen CIUREA, University of Medicine and Pharmacy of Craiova

Surgery Department

Costin Teodor STREBA, University of Medicine and Pharmacy of Craiova

Gastroenterology Department

Vlad Florin IOVANESCU, University of Medicine and Pharmacy of Craiova

PhD Student

Stefan Alexandru ARTENE, University of Medicine and Pharmacy of Craiova

PhD Student

Cristin Constantin VERE, University of Medicine and Pharmacy of Craiova

Gastroenterology Department

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Published

23.06.2015

How to Cite

1.
CONSTANTINESCU AF, IONESCU M, ROGOVEANU I, CIUREA ME, STREBA CT, IOVANESCU VF, ARTENE SA, VERE CC. Analysis of Wireless Capsule Endoscopy Images using Local Binary Patterns. Appl Med Inform [Internet]. 2015 Jun. 23 [cited 2024 May 28];36(2):31-42. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/532

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Articles