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Statistical atlas-based descriptor for an early detection of optic disc abnormalities
Optic disc (OD) appearance in fundus images is one of the clinical indicators considered in the assessment of retinal diseases such as glaucoma. The cup-to-disc ratio (CDR) is the most common clinical measurement used to characterize glaucoma. However, the CDR only evaluates the relative sizes of th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839421/ https://www.ncbi.nlm.nih.gov/pubmed/29541648 http://dx.doi.org/10.1117/1.JMI.5.1.014006 |
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author | Girard, Fantin Kavalec, Conrad Cheriet, Farida |
author_facet | Girard, Fantin Kavalec, Conrad Cheriet, Farida |
author_sort | Girard, Fantin |
collection | PubMed |
description | Optic disc (OD) appearance in fundus images is one of the clinical indicators considered in the assessment of retinal diseases such as glaucoma. The cup-to-disc ratio (CDR) is the most common clinical measurement used to characterize glaucoma. However, the CDR only evaluates the relative sizes of the cup and the OD via their diameters. We propose to construct an atlas-based shape descriptor (ASD) to statistically characterize the geometric deformations of the OD shape and of the blood vessels’ configuration inside the OD region. A local representation of the OD region is proposed to construct a well-defined statistical atlas using nonlinear registration and statistical analysis of deformation fields. The shape descriptor is defined as being composed of several statistical measures from the atlas. Analysis of the average model and its principal modes of deformation are performed on a healthy population. The components of the ASD show a significant difference between pathological and healthy ODs. We show that the ASD is able to characterize healthy and glaucomatous OD regions. The deviation map extracted from the atlas can be used to assist clinicians in an early detection of deformation abnormalities in the OD region. |
format | Online Article Text |
id | pubmed-5839421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-58394212019-03-06 Statistical atlas-based descriptor for an early detection of optic disc abnormalities Girard, Fantin Kavalec, Conrad Cheriet, Farida J Med Imaging (Bellingham) Image Processing Optic disc (OD) appearance in fundus images is one of the clinical indicators considered in the assessment of retinal diseases such as glaucoma. The cup-to-disc ratio (CDR) is the most common clinical measurement used to characterize glaucoma. However, the CDR only evaluates the relative sizes of the cup and the OD via their diameters. We propose to construct an atlas-based shape descriptor (ASD) to statistically characterize the geometric deformations of the OD shape and of the blood vessels’ configuration inside the OD region. A local representation of the OD region is proposed to construct a well-defined statistical atlas using nonlinear registration and statistical analysis of deformation fields. The shape descriptor is defined as being composed of several statistical measures from the atlas. Analysis of the average model and its principal modes of deformation are performed on a healthy population. The components of the ASD show a significant difference between pathological and healthy ODs. We show that the ASD is able to characterize healthy and glaucomatous OD regions. The deviation map extracted from the atlas can be used to assist clinicians in an early detection of deformation abnormalities in the OD region. Society of Photo-Optical Instrumentation Engineers 2018-03-06 2018-01 /pmc/articles/PMC5839421/ /pubmed/29541648 http://dx.doi.org/10.1117/1.JMI.5.1.014006 Text en © The Authors. https://creativecommons.org/licenses/by/3.0/ Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Image Processing Girard, Fantin Kavalec, Conrad Cheriet, Farida Statistical atlas-based descriptor for an early detection of optic disc abnormalities |
title | Statistical atlas-based descriptor for an early detection of optic disc abnormalities |
title_full | Statistical atlas-based descriptor for an early detection of optic disc abnormalities |
title_fullStr | Statistical atlas-based descriptor for an early detection of optic disc abnormalities |
title_full_unstemmed | Statistical atlas-based descriptor for an early detection of optic disc abnormalities |
title_short | Statistical atlas-based descriptor for an early detection of optic disc abnormalities |
title_sort | statistical atlas-based descriptor for an early detection of optic disc abnormalities |
topic | Image Processing |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839421/ https://www.ncbi.nlm.nih.gov/pubmed/29541648 http://dx.doi.org/10.1117/1.JMI.5.1.014006 |
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