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

D. Boschetto; H. Mirzaei; R. W L Leong; G. Tarroni; E. Grisan

doi:10.1109/EMBC.2015.7320284

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

D. Boschetto, H. Mirzaei, R. W L Leong, G. Tarroni, E. Grisan

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	EMBC 2015
Subtitle of host publication	Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Place of Publication	New York
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	8143-8146
Number of pages	4
ISBN (Electronic)	9781424492718, 9781424492701
DOIs	https://doi.org/10.1109/EMBC.2015.7320284
Publication status	Published - 4 Nov 2015
Externally published	Yes
Event	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015

Other

Other	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Country/Territory	Italy
City	Milan
Period	25/08/15 → 29/08/15

Keywords

celiac disease
computer-aided diagnosis
confocal endomicroscopy
villous atrophy

Access to Document

10.1109/EMBC.2015.7320284

Cite this

Boschetto, D., Mirzaei, H., Leong, R. W. L., Tarroni, G., & Grisan, E. (2015). Semiautomatic detection of villi in confocal endoscopy for the evaluation of celiac disease. In EMBC 2015: Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 8143-8146). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EMBC.2015.7320284

@inproceedings{83985ab5365c4880966f81553c0738c4,

title = "Semiautomatic detection of villi in confocal endoscopy for the evaluation of celiac disease",

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.",

keywords = "celiac disease, computer-aided diagnosis, confocal endomicroscopy, villous atrophy",

author = "D. Boschetto and H. Mirzaei and Leong, {R. W L} and G. Tarroni and E. Grisan",

year = "2015",

month = nov,

day = "4",

doi = "10.1109/EMBC.2015.7320284",

language = "English",

pages = "8143--8146",

booktitle = "EMBC 2015",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 ; Conference date: 25-08-2015 Through 29-08-2015",

}

Boschetto, D, Mirzaei, H, Leong, RWL, Tarroni, G & Grisan, E 2015, Semiautomatic detection of villi in confocal endoscopy for the evaluation of celiac disease. in EMBC 2015: Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronics Engineers (IEEE), New York, pp. 8143-8146, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 25/08/15. https://doi.org/10.1109/EMBC.2015.7320284

Semiautomatic detection of villi in confocal endoscopy for the evaluation of celiac disease. / Boschetto, D.; Mirzaei, H.; Leong, R. W L et al.
EMBC 2015: Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. New York: Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 8143-8146.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Semiautomatic detection of villi in confocal endoscopy for the evaluation of celiac disease

AU - Boschetto, D.

AU - Mirzaei, H.

AU - Leong, R. W L

AU - Tarroni, G.

AU - Grisan, E.

PY - 2015/11/4

Y1 - 2015/11/4

N2 - 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.

AB - 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.

KW - celiac disease

KW - computer-aided diagnosis

KW - confocal endomicroscopy

KW - villous atrophy

UR - http://www.scopus.com/inward/record.url?scp=84953295022&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2015.7320284

DO - 10.1109/EMBC.2015.7320284

M3 - Conference proceeding contribution

C2 - 26738184

AN - SCOPUS:84953295022

SP - 8143

EP - 8146

BT - EMBC 2015

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - New York

T2 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015

Y2 - 25 August 2015 through 29 August 2015

ER -

Boschetto D, Mirzaei H, Leong RWL, Tarroni G, Grisan E. Semiautomatic detection of villi in confocal endoscopy for the evaluation of celiac disease. In EMBC 2015: Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. New York: Institute of Electrical and Electronics Engineers (IEEE). 2015. p. 8143-8146 doi: 10.1109/EMBC.2015.7320284

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

Abstract

Other

Keywords

Access to Document

Other files and links

Fingerprint

Cite this