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Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes

Integrating spatial information about atrial physiology and anatomy in a single patient from multimodal datasets, as well as generalizing these data across patients, requires a common coordinate system. In the atria, this is challenging due to the complexity and variability of the anatomy. We aimed...

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Autores principales: Roney, Caroline H., Pashaei, Ali, Meo, Marianna, Dubois, Rémi, Boyle, Patrick M., Trayanova, Natalia A., Cochet, Hubert, Niederer, Steven A., Vigmond, Edward J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543067/
https://www.ncbi.nlm.nih.gov/pubmed/31026761
http://dx.doi.org/10.1016/j.media.2019.04.004
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author Roney, Caroline H.
Pashaei, Ali
Meo, Marianna
Dubois, Rémi
Boyle, Patrick M.
Trayanova, Natalia A.
Cochet, Hubert
Niederer, Steven A.
Vigmond, Edward J.
author_facet Roney, Caroline H.
Pashaei, Ali
Meo, Marianna
Dubois, Rémi
Boyle, Patrick M.
Trayanova, Natalia A.
Cochet, Hubert
Niederer, Steven A.
Vigmond, Edward J.
author_sort Roney, Caroline H.
collection PubMed
description Integrating spatial information about atrial physiology and anatomy in a single patient from multimodal datasets, as well as generalizing these data across patients, requires a common coordinate system. In the atria, this is challenging due to the complexity and variability of the anatomy. We aimed to develop and validate a Universal Atrial Coordinate (UAC) system for the following applications: combination and assessment of multimodal data; comparison of spatial data across patients; 2D visualization; and construction of patient specific geometries to test mechanistic hypotheses. Left and right atrial LGE-MRI data were segmented and meshed. Two coordinates were calculated for each atrium by solving Laplace’s equation, with boundary conditions assigned using five landmark points. The coordinate system was used to map spatial information between atrial meshes, including scalar fields measured using different mapping modalities, and atrial anatomic structures and fibre directions from a reference geometry. Average error in point transfer from a source mesh to a destination mesh and back again was less than 0.1 mm for the left atrium and 0.02 mm for the right atrium. Patient specific meshes were constructed using the coordinate system and phase singularity density maps from arrhythmia simulations were visualised in 2D. In conclusion, we have developed a universal atrial coordinate system allowing automatic registration of imaging and electroanatomic mapping data, 2D visualisation, and patient specific model creation.
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spelling pubmed-65430672019-07-01 Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes Roney, Caroline H. Pashaei, Ali Meo, Marianna Dubois, Rémi Boyle, Patrick M. Trayanova, Natalia A. Cochet, Hubert Niederer, Steven A. Vigmond, Edward J. Med Image Anal Article Integrating spatial information about atrial physiology and anatomy in a single patient from multimodal datasets, as well as generalizing these data across patients, requires a common coordinate system. In the atria, this is challenging due to the complexity and variability of the anatomy. We aimed to develop and validate a Universal Atrial Coordinate (UAC) system for the following applications: combination and assessment of multimodal data; comparison of spatial data across patients; 2D visualization; and construction of patient specific geometries to test mechanistic hypotheses. Left and right atrial LGE-MRI data were segmented and meshed. Two coordinates were calculated for each atrium by solving Laplace’s equation, with boundary conditions assigned using five landmark points. The coordinate system was used to map spatial information between atrial meshes, including scalar fields measured using different mapping modalities, and atrial anatomic structures and fibre directions from a reference geometry. Average error in point transfer from a source mesh to a destination mesh and back again was less than 0.1 mm for the left atrium and 0.02 mm for the right atrium. Patient specific meshes were constructed using the coordinate system and phase singularity density maps from arrhythmia simulations were visualised in 2D. In conclusion, we have developed a universal atrial coordinate system allowing automatic registration of imaging and electroanatomic mapping data, 2D visualisation, and patient specific model creation. Elsevier 2019-07 /pmc/articles/PMC6543067/ /pubmed/31026761 http://dx.doi.org/10.1016/j.media.2019.04.004 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Roney, Caroline H.
Pashaei, Ali
Meo, Marianna
Dubois, Rémi
Boyle, Patrick M.
Trayanova, Natalia A.
Cochet, Hubert
Niederer, Steven A.
Vigmond, Edward J.
Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
title Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
title_full Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
title_fullStr Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
title_full_unstemmed Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
title_short Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
title_sort universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543067/
https://www.ncbi.nlm.nih.gov/pubmed/31026761
http://dx.doi.org/10.1016/j.media.2019.04.004
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