%0 Conference Paper
%A Boschetto, Davide
%A Mirzaei, H.
%A Leong, R.W.L.
%A Tarroni, Giacomo
%A Grisan, Enrico
%B 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
%C Milan
%D 2015
%F eprints:3018
%I IEEE
%K Biomedical optical imaging, Cellular biophysics, Diseases, Endoscopes, Image segmentation, Laser applications in medicine, Medical image processing, Optical microscopy, Celiac disease evaluation, Clinical practice, Confocal endoscopy images, Confocal laser endomicroscopy, Crypt hypertrophy, Intestinal biopsy
%P 8143-8146
%T Semiautomatic detection of villi in confocal endoscopy for the evaluation of celiac disease
%U http://eprints.imtlucca.it/3018/
%X 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.