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Registration of OCT fundus images with color fundus photographs based on blood vessel ridges

This paper proposes an algorithm to register OCT fundus images (OFIs) with color fundus photographs (CFPs). This makes it possible to correlate retinal features across the different imaging modalities. Blood vessel ridges are taken as features for registration. A specially defined distance, incorpor...

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Detalles Bibliográficos
Autores principales: Li, Ying, Gregori, Giovanni, Knighton, Robert W., Lujan, Brandon J., Rosenfeld, Philip J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3368356/
https://www.ncbi.nlm.nih.gov/pubmed/21263537
http://dx.doi.org/10.1364/OE.19.000007
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author Li, Ying
Gregori, Giovanni
Knighton, Robert W.
Lujan, Brandon J.
Rosenfeld, Philip J.
author_facet Li, Ying
Gregori, Giovanni
Knighton, Robert W.
Lujan, Brandon J.
Rosenfeld, Philip J.
author_sort Li, Ying
collection PubMed
description This paper proposes an algorithm to register OCT fundus images (OFIs) with color fundus photographs (CFPs). This makes it possible to correlate retinal features across the different imaging modalities. Blood vessel ridges are taken as features for registration. A specially defined distance, incorporating information of normal direction of blood vessel ridge pixels, is designed to calculate the distance between each pair of pixels to be matched in the pair image. Based on this distance a similarity function between the pair image is defined. Brute force search is used for a coarse registration and then an Iterative Closest Point (ICP) algorithm for a more accurate registration. The registration algorithm was tested on a sample set containing images of both normal eyes and eyes with pathologies. Three transformation models (similarity, affine and quadratic models) were tested on all image pairs respectively. The experimental results showed that the registration algorithm worked well. The average root mean square errors for the affine model are 31 µm (normal) and 59 µm (eyes with disease). The proposed algorithm can be easily adapted to registration for other modality retinal images.
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spelling pubmed-33683562012-10-01 Registration of OCT fundus images with color fundus photographs based on blood vessel ridges Li, Ying Gregori, Giovanni Knighton, Robert W. Lujan, Brandon J. Rosenfeld, Philip J. Opt Express Research-Article This paper proposes an algorithm to register OCT fundus images (OFIs) with color fundus photographs (CFPs). This makes it possible to correlate retinal features across the different imaging modalities. Blood vessel ridges are taken as features for registration. A specially defined distance, incorporating information of normal direction of blood vessel ridge pixels, is designed to calculate the distance between each pair of pixels to be matched in the pair image. Based on this distance a similarity function between the pair image is defined. Brute force search is used for a coarse registration and then an Iterative Closest Point (ICP) algorithm for a more accurate registration. The registration algorithm was tested on a sample set containing images of both normal eyes and eyes with pathologies. Three transformation models (similarity, affine and quadratic models) were tested on all image pairs respectively. The experimental results showed that the registration algorithm worked well. The average root mean square errors for the affine model are 31 µm (normal) and 59 µm (eyes with disease). The proposed algorithm can be easily adapted to registration for other modality retinal images. Optical Society of America 2010-12-20 /pmc/articles/PMC3368356/ /pubmed/21263537 http://dx.doi.org/10.1364/OE.19.000007 Text en ©2011 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.
spellingShingle Research-Article
Li, Ying
Gregori, Giovanni
Knighton, Robert W.
Lujan, Brandon J.
Rosenfeld, Philip J.
Registration of OCT fundus images with color fundus photographs based on blood vessel ridges
title Registration of OCT fundus images with color fundus photographs based on blood vessel ridges
title_full Registration of OCT fundus images with color fundus photographs based on blood vessel ridges
title_fullStr Registration of OCT fundus images with color fundus photographs based on blood vessel ridges
title_full_unstemmed Registration of OCT fundus images with color fundus photographs based on blood vessel ridges
title_short Registration of OCT fundus images with color fundus photographs based on blood vessel ridges
title_sort registration of oct fundus images with color fundus photographs based on blood vessel ridges
topic Research-Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3368356/
https://www.ncbi.nlm.nih.gov/pubmed/21263537
http://dx.doi.org/10.1364/OE.19.000007
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