Analysis of corneal images for the recognition of nerve structures

Alfredo Ruggeri; Fabio Scarpa; Enrico Grisan

doi:10.1109/IEMBS.2006.259805

Analysis of corneal images for the recognition of nerve structures

Alfredo Ruggeri
, Fabio Scarpa
, Enrico Grisan

University of Padua
Department of Information Engineering

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

21 Citations (Scopus)

Abstract

The recognition of nerve structures in the cornea appears to be an important clinical issue, e.g. to investigate about damages from surgical interventions (LASIK/PRK) or severity of diabetic neuropathy. We addressed the problem of recognizing and tracing corneal nerves in confocal microscopy images. After image luminosity and contrast are normalized, the nerve tracking procedure is run. After nerve segments are recognized, a post-processing procedure removes false recognitions and links sparse segments. A prototype of the algorithm was implemented in the Matlab® language and run on a personal computer. An evaluation was performed on a data set containing 12 images. The percent of tracked nerves (with respect to manual tracing) was on average 87%; the rate of false positive recognitions (with respect to total tracing) was on average 9%. Running times of the prototype were 4-5 minutes per image.

Original language	English
Title of host publication	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4739-4742
Number of pages	4
ISBN (Print)	1424400325, 9781424400324
DOIs	https://doi.org/10.1109/IEMBS.2006.259805
Publication status	Published - 3 Sept 2006
Externally published	Yes
Event	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States Duration: 30 Aug 2006 → 3 Sept 2006

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)	0589-1019

Conference

Conference	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/Territory	United States
City	New York, NY
Period	30/08/06 → 3/09/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1109/IEMBS.2006.259805

Cite this

Ruggeri, A., Scarpa, F., & Grisan, E. (2006). Analysis of corneal images for the recognition of nerve structures. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (pp. 4739-4742). Article 4029505 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEMBS.2006.259805

Ruggeri, Alfredo ; Scarpa, Fabio ; Grisan, Enrico. / Analysis of corneal images for the recognition of nerve structures. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. Institute of Electrical and Electronics Engineers Inc., 2006. pp. 4739-4742 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

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abstract = "The recognition of nerve structures in the cornea appears to be an important clinical issue, e.g. to investigate about damages from surgical interventions (LASIK/PRK) or severity of diabetic neuropathy. We addressed the problem of recognizing and tracing corneal nerves in confocal microscopy images. After image luminosity and contrast are normalized, the nerve tracking procedure is run. After nerve segments are recognized, a post-processing procedure removes false recognitions and links sparse segments. A prototype of the algorithm was implemented in the Matlab{\textregistered} language and run on a personal computer. An evaluation was performed on a data set containing 12 images. The percent of tracked nerves (with respect to manual tracing) was on average 87\%; the rate of false positive recognitions (with respect to total tracing) was on average 9\%. Running times of the prototype were 4-5 minutes per image.",

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Ruggeri, A, Scarpa, F & Grisan, E 2006, Analysis of corneal images for the recognition of nerve structures. in 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06., 4029505, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 4739-4742, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, United States, 30/08/06. https://doi.org/10.1109/IEMBS.2006.259805

Analysis of corneal images for the recognition of nerve structures. / Ruggeri, Alfredo; Scarpa, Fabio; Grisan, Enrico.
28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. Institute of Electrical and Electronics Engineers Inc., 2006. p. 4739-4742 4029505 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

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

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AB - The recognition of nerve structures in the cornea appears to be an important clinical issue, e.g. to investigate about damages from surgical interventions (LASIK/PRK) or severity of diabetic neuropathy. We addressed the problem of recognizing and tracing corneal nerves in confocal microscopy images. After image luminosity and contrast are normalized, the nerve tracking procedure is run. After nerve segments are recognized, a post-processing procedure removes false recognitions and links sparse segments. A prototype of the algorithm was implemented in the Matlab® language and run on a personal computer. An evaluation was performed on a data set containing 12 images. The percent of tracked nerves (with respect to manual tracing) was on average 87%; the rate of false positive recognitions (with respect to total tracing) was on average 9%. Running times of the prototype were 4-5 minutes per image.

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Ruggeri A, Scarpa F, Grisan E. Analysis of corneal images for the recognition of nerve structures. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. Institute of Electrical and Electronics Engineers Inc. 2006. p. 4739-4742. 4029505. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). doi: 10.1109/IEMBS.2006.259805