Computer-assisted automated image recognition of celiac disease using confocal endomicroscopy

Enrico Grisan, Hadis Mirzaei, Rupert Leong

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

Celiac disease (CD) is an immune-mediated enteropathy triggered by exposure to gluten and similar proteins which affects genetically susceptible persons, increasing their risk of different complications such as malignant lymphomas, small-bowel neoplasia, oropharyngeal tumors, osteoporosis, and bone fractures. In the clinical practice, the diagnosis of CD is made with a diagnostic intestinal biopsy and the concomitant presence of a positive celiac serology. Small bowels mucosa damage due to CD involves various degrees of endoscopically relevant lesions, that are not easily recognized: their overall sensitivity and positive predictive values are poor even when zoom endoscopy is used. Confocal laser endomicroscopy (CLE) has recently revealed to be a useful technique for in vivo virtual histology of small bowels mucosa, but requires skilled and specifically trained operators. We present a computer-based method for the automatic diagnosis of CD-related lesions on the basis of appearance features of confocal images. Comparing the automatic results with the histological gold standard, the proposed method classifies confocal images with accuracy comparable to human observer, suggesting the possibility of real time diagnosis of CD during endoscopy and a non-invasive method to replace biopsy.

Original languageEnglish
Title of host publicationISBI 2014
Subtitle of host publicationProceedings of the 2014 IEEE 11th International Symposium on Biomedical Imaging
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages121-124
Number of pages4
ISBN (Electronic)9781467319614
DOIs
Publication statusPublished - 29 Jul 2014
Externally publishedYes
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China
Duration: 29 Apr 20142 May 2014

Other

Other2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
CountryChina
CityBeijing
Period29/04/142/05/14

Keywords

  • confocal endomicroscopy
  • computer aided diagnosis
  • celiac disease
  • random forests

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