NDLI: Semiautomatic detection of villi in confocal endoscopy for the evaluation of celiac disease

Content Provider	IEEE Xplore Digital Library
Author	Boschetto, D. Mirzaei, H. Leong, R.W.L. Tarroni, G. Grisan, E.
Copyright Year	2015
Description	Author affiliation: IMT Inst. for Adv. Studies Lucca, Lucca, Italy (Boschetto, D.) \|\| Dept. of Inf. Eng., Univ. of Padova, Padua, Italy (Tarroni, G.; Grisan, E.) \|\| Fac. of Med., Univ. of New South Wales, Sydney, NSW, Australia (Mirzaei, H.; Leong, R.W.L.)
Abstract	Celiac Disease (CD) is an immune-mediated enteropathy, diagnosed in the clinical practice by intestinal biopsy and the concomitant presence of a positive celiac serology. Confocal Laser Endomicroscopy (CLE) allows skilled and trained experts to potentially perform in vivo virtual histology of small-bowel mucosa. In particular, it allows the qualitative evaluation of mucosa alteration such as a decrease in goblet cells density, presence of villous atrophy or crypt hypertrophy. We present a semi-automatic method for villi detection from confocal endoscopy images, whose appearance change in case of villous atrophy. Starting from a set of manual seeds, a first rough segmentation of the villi is obtained by means of mathematical morphology operations. A merge and split procedure is then performed, to ensure that each seed originates a different region in the final segmentation. A border refinement process is finally performed, evolving the shape of each region according to local gradient intensities. Mean and median Dice coefficients for 290 villi originating from 66 images when compared to manually obtained ground truth are 80.71% and 87.96% respectively.
Starting Page	8143
Ending Page	8146
File Size	2256476
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7320284
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Diseases Image segmentation Atrophy Endoscopes Gastroenterology Cryptography Shape celiac disease villous atrophy confocal endomicroscopy computer-aided diagnosis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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