Spline-based refinement of vessel contours in fundus retinal images for width estimation

Alessandro Cavinato; Lucia Ballerini; Emanuele Trucco; Enrico Grisan

doi:10.1109/ISBI.2013.6556614

Spline-based refinement of vessel contours in fundus retinal images for width estimation

Alessandro Cavinato, Lucia Ballerini, Emanuele Trucco, Enrico Grisan

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

9 Citations (Scopus)

Abstract

This paper presents a novel algorithm for refining the vessel contours obtained from retinal binary vessel maps. The refinement improves vessel width estimation. Our approach is based on fitting the two contours of each vessel in the binary map with a cubic spline curve, introducing a parallelism constraint between the two splines. The algorithm, evaluated on the REVIEW database, has a comparable accuracy to that of specialized, sophisticated width estimation algorithms.

Original language	English
Title of host publication	Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013))
Subtitle of host publication	from nano to macro
Publisher	IEEE
Pages	872-875
Number of pages	4
ISBN (Print)	9781467364560
DOIs	https://doi.org/10.1109/ISBI.2013.6556614
Publication status	Published - 2013
Event	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro - The Westin San Francisco Market Street, San Francisco, United States Duration: 7 Apr 2013 → 11 Apr 2013

Conference

Conference	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro
Country/Territory	United States
City	San Francisco
Period	7/04/13 → 11/04/13

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10.1109/ISBI.2013.6556614

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@inproceedings{f680da48fe5c49348ff6c638a25e5a40,

title = "Spline-based refinement of vessel contours in fundus retinal images for width estimation",

abstract = "This paper presents a novel algorithm for refining the vessel contours obtained from retinal binary vessel maps. The refinement improves vessel width estimation. Our approach is based on fitting the two contours of each vessel in the binary map with a cubic spline curve, introducing a parallelism constraint between the two splines. The algorithm, evaluated on the REVIEW database, has a comparable accuracy to that of specialized, sophisticated width estimation algorithms.",

author = "Alessandro Cavinato and Lucia Ballerini and Emanuele Trucco and Enrico Grisan",

year = "2013",

doi = "10.1109/ISBI.2013.6556614",

language = "English",

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pages = "872--875",

booktitle = "Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013))",

publisher = "IEEE",

note = "2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro ; Conference date: 07-04-2013 Through 11-04-2013",

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Cavinato, A, Ballerini, L, Trucco, E & Grisan, E 2013, Spline-based refinement of vessel contours in fundus retinal images for width estimation. in Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)): from nano to macro. IEEE, pp. 872-875, 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, San Francisco, United States, 7/04/13. https://doi.org/10.1109/ISBI.2013.6556614

Spline-based refinement of vessel contours in fundus retinal images for width estimation. / Cavinato, Alessandro; Ballerini, Lucia; Trucco, Emanuele et al.
Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)): from nano to macro. IEEE, 2013. p. 872-875.

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

TY - GEN

T1 - Spline-based refinement of vessel contours in fundus retinal images for width estimation

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AU - Grisan, Enrico

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N2 - This paper presents a novel algorithm for refining the vessel contours obtained from retinal binary vessel maps. The refinement improves vessel width estimation. Our approach is based on fitting the two contours of each vessel in the binary map with a cubic spline curve, introducing a parallelism constraint between the two splines. The algorithm, evaluated on the REVIEW database, has a comparable accuracy to that of specialized, sophisticated width estimation algorithms.

AB - This paper presents a novel algorithm for refining the vessel contours obtained from retinal binary vessel maps. The refinement improves vessel width estimation. Our approach is based on fitting the two contours of each vessel in the binary map with a cubic spline curve, introducing a parallelism constraint between the two splines. The algorithm, evaluated on the REVIEW database, has a comparable accuracy to that of specialized, sophisticated width estimation algorithms.

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Spline-based refinement of vessel contours in fundus retinal images for width estimation

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