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Identifying potential re-entrant circuit locations from atrial fibre maps.
File | Description | Size | Format | |
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Sheep_Heart_CinC.pdf | Accepted version | 391.85 kB | Adobe PDF | View/Open |
Title: | Identifying potential re-entrant circuit locations from atrial fibre maps. |
Authors: | Falkenberg, M Hickey, D Terrill, L Ciacci, A Peters, NS Christensen, K |
Item 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. |
Issue Date: | 24-Feb-2020 |
Date of Acceptance: | 1-Feb-2020 |
URI: | http://hdl.handle.net/10044/1/82806 |
DOI: | 10.23919/CinC49843.2019.9005652 |
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/Funder: | 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 |
Funder's 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 |
Conference Place: | United States |
Online Publication Date: | 2020-02-24 |
Appears in Collections: | Condensed Matter Theory Physics National Heart and Lung Institute Faculty of Medicine Faculty of Natural Sciences |