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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


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.

Original languageEnglish
Title of host publicationComputing in Cardiology Conference, CinC 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781728109589
Publication statusPublished - 1 Sept 2018
Event45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands
Duration: 23 Sept 201826 Sept 2018


Conference45th Computing in Cardiology Conference, CinC 2018


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