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Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation.

Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation.
Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation.
Atrial fibrillation (AF) is the most prevalent clinical arrhythmia, posing significant mortality and morbidity challenges. Outcomes of current catheter ablation treatment strategies are suboptimal, highlighting the need for innovative approaches. A major obstacle lies in the inability to comprehensively assess both structural and functional remodelling in AF. Combining magnetic resonance imaging (MRI)'s detailed structural insights with global chamber charge density mapping (CDM)'s functional mapping capabilities holds promise for advancing AF management. Our research introduces a novel tool for three-dimensional reconstruction of left atrial geometries from MRI, facilitating integration into CDM systems. We comprehensively assess our tool by generating three-dimensional left atrial meshes from MRIs of eight patients with AF and compare them with the established CDM intra-chamber ultrasound approach utilizing both geometric and clinical parameters. We apply the CDM inverse algorithm to both sets of reconstructions in order to compare derived conductions across various heart rhythms and AF conduction patterns. Finally, we explore the potential utility of our integrated pipeline through an exploration of the relationship between AF conduction patterns and their proximity to adjacent thoracic structures. Ultimately, this multifaceted approach aims to unveil insights into AF mechanisms, potentially improving treatment outcomes through personalized ablation strategies targeting arrhythmogenic atrial substrate.
2054-5703
Sharp, Alexander J.
1b75e163-d071-48d8-ad86-0c5ce163a0f4
Pope, Michael T.B.
4e7343b7-a8c4-4ce4-a813-ff0d894b0f92
Briosa e Gala, Andre
409c30a8-0696-4426-9f9b-2539af465dbd
Varini, Richard
1c4158e9-951b-4efc-9155-f5b0bd63db75
Betts, Timothy R.
a9d90073-a54a-478c-81f0-39ecc5234047
Banerjee, Abhirup
5609084f-fc25-461f-add0-131198c43139
Sharp, Alexander J.
1b75e163-d071-48d8-ad86-0c5ce163a0f4
Pope, Michael T.B.
4e7343b7-a8c4-4ce4-a813-ff0d894b0f92
Briosa e Gala, Andre
409c30a8-0696-4426-9f9b-2539af465dbd
Varini, Richard
1c4158e9-951b-4efc-9155-f5b0bd63db75
Betts, Timothy R.
a9d90073-a54a-478c-81f0-39ecc5234047
Banerjee, Abhirup
5609084f-fc25-461f-add0-131198c43139

Sharp, Alexander J., Pope, Michael T.B., Briosa e Gala, Andre, Varini, Richard, Betts, Timothy R. and Banerjee, Abhirup (2025) Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation. Royal Society Open Science, 12 (1). (doi:10.1098/rsos.241048).

Record type: Article

Abstract

Atrial fibrillation (AF) is the most prevalent clinical arrhythmia, posing significant mortality and morbidity challenges. Outcomes of current catheter ablation treatment strategies are suboptimal, highlighting the need for innovative approaches. A major obstacle lies in the inability to comprehensively assess both structural and functional remodelling in AF. Combining magnetic resonance imaging (MRI)'s detailed structural insights with global chamber charge density mapping (CDM)'s functional mapping capabilities holds promise for advancing AF management. Our research introduces a novel tool for three-dimensional reconstruction of left atrial geometries from MRI, facilitating integration into CDM systems. We comprehensively assess our tool by generating three-dimensional left atrial meshes from MRIs of eight patients with AF and compare them with the established CDM intra-chamber ultrasound approach utilizing both geometric and clinical parameters. We apply the CDM inverse algorithm to both sets of reconstructions in order to compare derived conductions across various heart rhythms and AF conduction patterns. Finally, we explore the potential utility of our integrated pipeline through an exploration of the relationship between AF conduction patterns and their proximity to adjacent thoracic structures. Ultimately, this multifaceted approach aims to unveil insights into AF mechanisms, potentially improving treatment outcomes through personalized ablation strategies targeting arrhythmogenic atrial substrate.

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Accepted/In Press date: 1 December 2024
Published date: 15 January 2025

Identifiers

Local EPrints ID: 504487
URI: http://eprints.soton.ac.uk/id/eprint/504487
ISSN: 2054-5703
PURE UUID: eff1abdc-ff8b-4671-9920-6d7bdbe0c711
ORCID for Andre Briosa e Gala: ORCID iD orcid.org/0000-0002-9145-6374

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Date deposited: 10 Sep 2025 15:19
Last modified: 11 Sep 2025 03:22

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Contributors

Author: Alexander J. Sharp
Author: Michael T.B. Pope
Author: Andre Briosa e Gala ORCID iD
Author: Richard Varini
Author: Timothy R. Betts
Author: Abhirup Banerjee

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