Advances in MRI optic nerve segmentation

Understanding optic nerve structure and monitoring changes within it can provide insights into neurodegenerative diseases like multiple sclerosis, in which optic nerves are often damaged by inflammatory episodes of optic neuritis. Over the past decades, interest in the optic nerve has increased, par...

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Autores: Xena Bosch, Carla, Kodali, Srikirti, Sahi, Nitin, Chard, Declan, Llufriu, Sara, Toosy, Ahmed, Martinez-Heras, Eloy, Prados Carrasco, Ferran
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universitat Oberta de Catalunya (UOC)
Repositorio:O2, repositorio institucional de la UOC
OAI Identifier:oai:openaccess.uoc.edu:10609/154533
Acceso en línea:https://hdl.handle.net/10609/154533
https://doi.org/10.1016/j.msard.2025.106437
Access Level:acceso abierto
Palabra clave:MRI
optic nerve
segmentation
neurodegenerative disease
deep learning
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spelling Advances in MRI optic nerve segmentationXena Bosch, CarlaKodali, SrikirtiSahi, NitinChard, DeclanLlufriu, SaraToosy, AhmedMartinez-Heras, EloyPrados Carrasco, FerranMRIoptic nervesegmentationneurodegenerative diseasedeep learningUnderstanding optic nerve structure and monitoring changes within it can provide insights into neurodegenerative diseases like multiple sclerosis, in which optic nerves are often damaged by inflammatory episodes of optic neuritis. Over the past decades, interest in the optic nerve has increased, particularly with advances in magnetic resonance technology and the advent of deep learning solutions. These advances have significantly improved the visualisation and analysis of optic nerves, making it possible to detect subtle changes that aid the early diagnosis and treatment of optic nerve-related diseases, and for planning radiotherapy interventions. Effective segmentation techniques, therefore, are crucial for enhancing the accuracy of predictive models, planning interventions and treatment strategies. This comprehensive review, which includes 27 peer-reviewed articles published between 2007 and 2024, examines and highlights the evolution of optic nerve magnetic resonance imaging segmentation over the past decade, tracing the development from intensity-based methods to the latest deep learning algorithms, including multi-atlas solutions using single or multiple image modalities.Elsevier202620262025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/10609/154533https://doi.org/10.1016/j.msard.2025.106437reponame:O2, repositorio institucional de la UOCinstname:Universitat Oberta de Catalunya (UOC)InglésMultiple Sclerosis and Related Disorders, 2025, 98, 106437.Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:openaccess.uoc.edu:10609/1545332026-05-28T12:42:01Z
dc.title.none.fl_str_mv Advances in MRI optic nerve segmentation
title Advances in MRI optic nerve segmentation
spellingShingle Advances in MRI optic nerve segmentation
Xena Bosch, Carla
MRI
optic nerve
segmentation
neurodegenerative disease
deep learning
title_short Advances in MRI optic nerve segmentation
title_full Advances in MRI optic nerve segmentation
title_fullStr Advances in MRI optic nerve segmentation
title_full_unstemmed Advances in MRI optic nerve segmentation
title_sort Advances in MRI optic nerve segmentation
dc.creator.none.fl_str_mv Xena Bosch, Carla
Kodali, Srikirti
Sahi, Nitin
Chard, Declan
Llufriu, Sara
Toosy, Ahmed
Martinez-Heras, Eloy
Prados Carrasco, Ferran
author Xena Bosch, Carla
author_facet Xena Bosch, Carla
Kodali, Srikirti
Sahi, Nitin
Chard, Declan
Llufriu, Sara
Toosy, Ahmed
Martinez-Heras, Eloy
Prados Carrasco, Ferran
author_role author
author2 Kodali, Srikirti
Sahi, Nitin
Chard, Declan
Llufriu, Sara
Toosy, Ahmed
Martinez-Heras, Eloy
Prados Carrasco, Ferran
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv MRI
optic nerve
segmentation
neurodegenerative disease
deep learning
topic MRI
optic nerve
segmentation
neurodegenerative disease
deep learning
description Understanding optic nerve structure and monitoring changes within it can provide insights into neurodegenerative diseases like multiple sclerosis, in which optic nerves are often damaged by inflammatory episodes of optic neuritis. Over the past decades, interest in the optic nerve has increased, particularly with advances in magnetic resonance technology and the advent of deep learning solutions. These advances have significantly improved the visualisation and analysis of optic nerves, making it possible to detect subtle changes that aid the early diagnosis and treatment of optic nerve-related diseases, and for planning radiotherapy interventions. Effective segmentation techniques, therefore, are crucial for enhancing the accuracy of predictive models, planning interventions and treatment strategies. This comprehensive review, which includes 27 peer-reviewed articles published between 2007 and 2024, examines and highlights the evolution of optic nerve magnetic resonance imaging segmentation over the past decade, tracing the development from intensity-based methods to the latest deep learning algorithms, including multi-atlas solutions using single or multiple image modalities.
publishDate 2025
dc.date.none.fl_str_mv 2025
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/10609/154533
https://doi.org/10.1016/j.msard.2025.106437
url https://hdl.handle.net/10609/154533
https://doi.org/10.1016/j.msard.2025.106437
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Multiple Sclerosis and Related Disorders, 2025, 98, 106437.
dc.rights.none.fl_str_mv Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:O2, repositorio institucional de la UOC
instname:Universitat Oberta de Catalunya (UOC)
instname_str Universitat Oberta de Catalunya (UOC)
reponame_str O2, repositorio institucional de la UOC
collection O2, repositorio institucional de la UOC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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