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The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry

Research output: Chapter in Book/Report/Conference proceedingConference paper

Gabriel Balaban, Brian P. Halliday, Caroline Mendonca Costa, Bradley Porter, Wenjia Bai, Gernot Plank, Christopher A. Rinaldi, Daniel Rueckert, Sanjay K. Prasad, Martin J. Bishop

Original languageEnglish
Title of host publicationComputing in Cardiology Conference, CinC 2018
PublisherIEEE Computer Society
Volume2018-September
ISBN (Electronic)9781728109589
DOIs
Published1 Sep 2018
Event45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands
Duration: 23 Sep 201826 Sep 2018

Conference

Conference45th Computing in Cardiology Conference, CinC 2018
CountryNetherlands
CityMaastricht
Period23/09/201826/09/2018

King's Authors

Abstract

Patients who present with non-ischemic dilated cardiomyopathy and enhancement on late gadolinium magnetic resonance imaging (LGE-CMR), are at high risk of sudden cardiac death. Further risk stratification of these patients based on LGE-CMR may be improved through better understanding of fibrosis micro-structure. Our aim is to examine variations in fibrosis micro-structure based on LGE imaging, and quantify the effect on reentry in-ducibility. 2D Computational models were created from a single short axis LGE-CMR image, with variations in fibrosis type (interstitial, replacement) and density. For each fibrosis-type density combination 10 different models were created, each representing a separate random realization. In total 200 models were tested. Reentry inducibility showed a dependence on fibrosis type and density as well as on the specific random realization of the type-density combination.

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