Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net

Aorta; Magnetic resonance angiography; Segmentation

Detalles Bibliográficos
Autores: Cesario, Matteo, Littlewood, Simon, Fletcher, Thomas J., Fotaki, Anastasia, Castillo-Passi, Carlos, Nadel, James, Oliveró, Ruperto, Rodríguez Palomares, José F
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:11351/13495
Acceso en línea:http://hdl.handle.net/11351/13495
Access Level:acceso abierto
Palabra clave:Imatgeria tridimensional en medicina
Aprenentatge profund
Angiografia
Aorta - Imatgeria per ressonància magnètica
Vasos sanguinis - Imatgeria per ressonància magnètica
Sistema cardiovascular - Malalties
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Tomography::Magnetic Resonance Imaging::Magnetic Resonance Angiography
ANATOMY::Cardiovascular System::Blood Vessels::Arteries::Aorta
Other subheadings::Other subheadings::Other subheadings::/diagnostic imaging
DISEASES::Cardiovascular Diseases
PHENOMENA AND PROCESSES::Mathematical Concepts::Algorithms::Artificial Intelligence::Machine Learning::Deep Learning
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Imaging, Three-Dimensional
ANATOMY::Cardiovascular System::Blood Vessels::Arteries::Coronary Vessels
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::tomografía::imagen por resonancia magnética::angiografía por resonancia magnética
ANATOMÍA::sistema cardiovascular::vasos sanguíneos::arterias::aorta
Otros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagen
ENFERMEDADES::enfermedades cardiovasculares
FENÓMENOS Y PROCESOS::conceptos matemáticos::algoritmos::inteligencia artificial::aprendizaje automático::aprendizaje profundo
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::imagen tridimensional
ANATOMÍA::sistema cardiovascular::vasos sanguíneos::arterias::vasos coronarios
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network_acronym_str ES
network_name_str España
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dc.title.none.fl_str_mv Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net
title Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net
spellingShingle Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net
Cesario, Matteo
Imatgeria tridimensional en medicina
Aprenentatge profund
Angiografia
Aorta - Imatgeria per ressonància magnètica
Vasos sanguinis - Imatgeria per ressonància magnètica
Sistema cardiovascular - Malalties
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Tomography::Magnetic Resonance Imaging::Magnetic Resonance Angiography
ANATOMY::Cardiovascular System::Blood Vessels::Arteries::Aorta
Other subheadings::Other subheadings::Other subheadings::/diagnostic imaging
DISEASES::Cardiovascular Diseases
PHENOMENA AND PROCESSES::Mathematical Concepts::Algorithms::Artificial Intelligence::Machine Learning::Deep Learning
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Imaging, Three-Dimensional
ANATOMY::Cardiovascular System::Blood Vessels::Arteries::Coronary Vessels
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::tomografía::imagen por resonancia magnética::angiografía por resonancia magnética
ANATOMÍA::sistema cardiovascular::vasos sanguíneos::arterias::aorta
Otros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagen
ENFERMEDADES::enfermedades cardiovasculares
FENÓMENOS Y PROCESOS::conceptos matemáticos::algoritmos::inteligencia artificial::aprendizaje automático::aprendizaje profundo
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::imagen tridimensional
ANATOMÍA::sistema cardiovascular::vasos sanguíneos::arterias::vasos coronarios
title_short Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net
title_full Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net
title_fullStr Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net
title_full_unstemmed Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net
title_sort Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net
dc.creator.none.fl_str_mv Cesario, Matteo
Littlewood, Simon
Fletcher, Thomas J.
Fotaki, Anastasia
Castillo-Passi, Carlos
Nadel, James
Oliveró, Ruperto
Rodríguez Palomares, José F
author Cesario, Matteo
author_facet Cesario, Matteo
Littlewood, Simon
Fletcher, Thomas J.
Fotaki, Anastasia
Castillo-Passi, Carlos
Nadel, James
Oliveró, Ruperto
Rodríguez Palomares, José F
author_role author
author2 Littlewood, Simon
Fletcher, Thomas J.
Fotaki, Anastasia
Castillo-Passi, Carlos
Nadel, James
Oliveró, Ruperto
Rodríguez Palomares, José F
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Institut Català de la Salut
[Cesario M] School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom. Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands. Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands. [Littlewood SJ, Fletcher TJ, Fotaki A] School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom. [Nadel J] School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom. Clinical Research Group, Heart Research Institute, Newtown, Australia. Cardiology Department, St. Vincent’s Hospital, Darlinghurst, Australia. [Castillo-Passi C] School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom. Institute of Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile. [Olivero R, Rodríguez-Palomares J] Servei de Cardiologia, Vall d′Hebron Hospital Universitari, Barcelona, Spain. Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain. Grup de Recerca de Malalties Cardiovasculars, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. CIBER de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain
Vall d'Hebron Barcelona Hospital Campus
dc.subject.none.fl_str_mv Imatgeria tridimensional en medicina
Aprenentatge profund
Angiografia
Aorta - Imatgeria per ressonància magnètica
Vasos sanguinis - Imatgeria per ressonància magnètica
Sistema cardiovascular - Malalties
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Tomography::Magnetic Resonance Imaging::Magnetic Resonance Angiography
ANATOMY::Cardiovascular System::Blood Vessels::Arteries::Aorta
Other subheadings::Other subheadings::Other subheadings::/diagnostic imaging
DISEASES::Cardiovascular Diseases
PHENOMENA AND PROCESSES::Mathematical Concepts::Algorithms::Artificial Intelligence::Machine Learning::Deep Learning
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Imaging, Three-Dimensional
ANATOMY::Cardiovascular System::Blood Vessels::Arteries::Coronary Vessels
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::tomografía::imagen por resonancia magnética::angiografía por resonancia magnética
ANATOMÍA::sistema cardiovascular::vasos sanguíneos::arterias::aorta
Otros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagen
ENFERMEDADES::enfermedades cardiovasculares
FENÓMENOS Y PROCESOS::conceptos matemáticos::algoritmos::inteligencia artificial::aprendizaje automático::aprendizaje profundo
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::imagen tridimensional
ANATOMÍA::sistema cardiovascular::vasos sanguíneos::arterias::vasos coronarios
topic Imatgeria tridimensional en medicina
Aprenentatge profund
Angiografia
Aorta - Imatgeria per ressonància magnètica
Vasos sanguinis - Imatgeria per ressonància magnètica
Sistema cardiovascular - Malalties
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Tomography::Magnetic Resonance Imaging::Magnetic Resonance Angiography
ANATOMY::Cardiovascular System::Blood Vessels::Arteries::Aorta
Other subheadings::Other subheadings::Other subheadings::/diagnostic imaging
DISEASES::Cardiovascular Diseases
PHENOMENA AND PROCESSES::Mathematical Concepts::Algorithms::Artificial Intelligence::Machine Learning::Deep Learning
ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Imaging, Three-Dimensional
ANATOMY::Cardiovascular System::Blood Vessels::Arteries::Coronary Vessels
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::tomografía::imagen por resonancia magnética::angiografía por resonancia magnética
ANATOMÍA::sistema cardiovascular::vasos sanguíneos::arterias::aorta
Otros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagen
ENFERMEDADES::enfermedades cardiovasculares
FENÓMENOS Y PROCESOS::conceptos matemáticos::algoritmos::inteligencia artificial::aprendizaje automático::aprendizaje profundo
TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::imagen tridimensional
ANATOMÍA::sistema cardiovascular::vasos sanguíneos::arterias::vasos coronarios
description Aorta; Magnetic resonance angiography; Segmentation
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
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 http://hdl.handle.net/11351/13495
http://hdl.handle.net/11351/13495
url http://hdl.handle.net/11351/13495
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Journal of Cardiovascular Magnetic Resonance;27(2)
https://doi.org/10.1016/j.jocmr.2025.101923
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://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 Scientia
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-NetCesario, MatteoLittlewood, SimonFletcher, Thomas J.Fotaki, AnastasiaCastillo-Passi, CarlosNadel, JamesOliveró, RupertoRodríguez Palomares, José FImatgeria tridimensional en medicinaAprenentatge profundAngiografiaAorta - Imatgeria per ressonància magnèticaVasos sanguinis - Imatgeria per ressonància magnèticaSistema cardiovascular - MalaltiesANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Tomography::Magnetic Resonance Imaging::Magnetic Resonance AngiographyANATOMY::Cardiovascular System::Blood Vessels::Arteries::AortaOther subheadings::Other subheadings::Other subheadings::/diagnostic imagingDISEASES::Cardiovascular DiseasesPHENOMENA AND PROCESSES::Mathematical Concepts::Algorithms::Artificial Intelligence::Machine Learning::Deep LearningANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Imaging, Three-DimensionalANATOMY::Cardiovascular System::Blood Vessels::Arteries::Coronary VesselsTÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::tomografía::imagen por resonancia magnética::angiografía por resonancia magnéticaANATOMÍA::sistema cardiovascular::vasos sanguíneos::arterias::aortaOtros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagenENFERMEDADES::enfermedades cardiovascularesFENÓMENOS Y PROCESOS::conceptos matemáticos::algoritmos::inteligencia artificial::aprendizaje automático::aprendizaje profundoTÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::imagen tridimensionalANATOMÍA::sistema cardiovascular::vasos sanguíneos::arterias::vasos coronariosAorta; Magnetic resonance angiography; SegmentationAorta; Angiografía por resonancia magnética; SegmentaciónAorta; Angiografia per ressonància magnètica; SegmentacióBackground: Magnetic resonance angiography (MRA) is an important tool for aortic assessment in several cardiovascular diseases. Assessment of MRA images relies on manual segmentation, a time-intensive process that is subject to operator variability. We aimed to optimize and validate two deep-learning models for automatic segmentation of the aortic lumen and vessel wall in high-resolution electrocardiogram-triggered free-breathing respiratory motion-corrected three-dimensional (3D) bright- and black-blood MRA images. Methods: Manual segmentation, serving as the ground truth, was performed on 25 bright-blood and 15 black-blood 3D MRA image sets acquired with the iT2PrepIR-BOOST sequence (1.5T) in thoracic aortopathy patients. The training was performed with no new U-Net (nnUNet) for bright-blood (lumen) and black-blood image sets (lumen and vessel wall). Training consisted of a 70:20:10% (17/25:5/25:3/25 datasets) training:validation:testing split. Inference was run on datasets (single vendor) from different centers (UK, Spain, and Australia), sequences (iT2PrepIR-BOOST, T2 prepared coronary magnetic resonance angiography [CMRA], and time-resolved angiography with interleaved stochastic trajectories [TWIST] MRA), acquired resolutions (from 0.9-3 mm3), and field strengths (0.55T, 1.5T, and 3T). Predictive measurements comprised Dice similarity coefficient (DSC) and Intersection over Union (IoU). Postprocessing (3D slicer) included centreline extraction, diameter measurement, and curved planar reformatting (CPR). Results: The optimal configuration was the 3D U-Net. Bright-blood segmentation at 1.5T on iT2PrepIR-BOOST datasets (1.3 and 1.8 mm3) and 3D CMRA datasets (0.9 mm3) resulted in DSC ≥ 0.96 and IoU ≥ 0.92. For bright-blood segmentation on 3D CMRA at 0.55T, the nnUNet achieved DSC and IoU scores of 0.93 and 0.88 at 1.5 mm³, and 0.68 and 0.52 at 3.0 mm³, respectively. DSC and IoU scores of 0.89 and 0.82 were obtained for CMRA image sets (1 mm3) at 1.5T (Barcelona dataset). DSC and IoU scores of the BRnnUNet model were 0.90 and 0.82, respectively, for the contrast-enhanced dataset (TWIST MRA). Lumen segmentation on black-blood 1.5T iT2PrepIR-BOOST image sets achieved DSC ≥ 0.95 and IoU ≥ 0.90, and vessel wall segmentation resulted in DSC ≥ 0.80 and IoU ≥ 0.67. Automated centreline tracking, diameter measurement, and CPR were successfully implemented in all subjects. Conclusion: Automated aortic lumen and wall segmentation on 3D bright- and black-blood image sets demonstrated excellent agreement with ground truth. This technique demonstrates a fast and comprehensive assessment of aortic morphology with great potential for future clinical application in various cardiovascular diseases.The authors acknowledge financial support from (1) King’s BHF Centre for Award Excellence RE/24/130035 and RG/20/1/34802, (2) EPSRC EP/V044087/1, (3) Wellcome EPSRC Centre for Medical Engineering (NS/A000049/1), (4) Millennium Institute for Intelligent Healthcare Engineering ICN2021_004, FONDECYT 1250261 and 1250252, (5) IMPACT, Center of Interventional Medicine for Precision and Advanced Cellular Therapy, Santiago, Chile. ANID—Basal funding for Scientific and Technological Center of Excellence, IMPACT, #FB210024, (6) the Department of Health through the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre award, (7) NIHR Cardiovascular MedTech Co-operative and (8) the Technical University of Munich – Institute for Advanced Study. The views expressed are those of the authors and not necessarily those of the BHF, NHS, the NIHR, or the Department of Health. J.N. is supported by the Royal Australasian College of Physicians’ Bushell Travelling Fellowship & a European Association of Cardiovascular Imaging Research Grant.ElsevierInstitut Català de la Salut[Cesario M] School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom. Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands. Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands. [Littlewood SJ, Fletcher TJ, Fotaki A] School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom. [Nadel J] School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom. Clinical Research Group, Heart Research Institute, Newtown, Australia. Cardiology Department, St. Vincent’s Hospital, Darlinghurst, Australia. [Castillo-Passi C] School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom. Institute of Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile. [Olivero R, Rodríguez-Palomares J] Servei de Cardiologia, Vall d′Hebron Hospital Universitari, Barcelona, Spain. Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain. Grup de Recerca de Malalties Cardiovasculars, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. CIBER de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, SpainVall d'Hebron Barcelona Hospital Campus202520252025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/11351/13495http://hdl.handle.net/11351/13495Scientiareponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésJournal of Cardiovascular Magnetic Resonance;27(2)https://doi.org/10.1016/j.jocmr.2025.101923Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:11351/134952026-05-29T05:05:01Z
score 15.812455

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