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Identifying potential re-entrant circuit locations from atrial fibre maps.
File(s)
Sheep_Heart_CinC.pdf (391.85 KB)
Accepted version
Author(s)
Falkenberg, Max
Hickey, David
Terrill, Louie
Ciacci, Alberto
Peters, Nicholas S
Type
Journal Article
Abstract
Re-entrant circuits have been identified as potential drivers of atrial fibrillation (AF). In this paper, we develop a novel computational framework for finding the locations of re-entrant circuits from high resolution fibre orientation data. The technique follows a statistical approach whereby we generate continuous fibre tracts across the tissue and couple adjacent fibres stochastically if they are within a given distance of each other. By varying the connection distance, we identify which regions are most susceptible to forming re-entrant circuits if muscle fibres are uncoupled, through the action of fibrosis or otherwise. Our results highlight the sleeves of the pulmonary veins, the posterior left atrium and the left atrial appendage as the regions most susceptible to re-entrant circuit formation. This is consistent with known risk locations in clinical AF. If the model can be personalised for individual patients undergoing ablation, future versions may be able to suggest suitable ablation targets.
Date Issued
2020-02-24
Date Acceptance
2020-02-01
Citation
Computing in cardiology, 2020, 46, pp.1-4
URI
URL
DOI
ISSN
2325-8861
Publisher
IEEE
Start Page
1
End Page
4
Journal / Book Title
Computing in cardiology
Volume
46
Copyright Statement
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Rosetrees Trust
British Heart Foundation
British Heart Foundation
Rosetrees Trust
Imperial College Healthcare NHS Trust- BRC Funding
British Heart Foundation
British Heart Foundation
British Heart Foundation
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/32514409
Grant Number
A1173/ M577
PG/16/17/32069
PG/16/17/32069
A1407/ M645
RDB02
RE/18/4/34215
FS/15/25/31423
RG/16/3/32175
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2020-02-24