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

Balaban G, Halliday BP, Costa CM, Porter B, Bai W, Plank G, Rinaldi CA, Rueckert D, Prasad SK, Bishop MJ (2018)


Publication Type: Conference contribution

Publication year: 2018

Publisher: IEEE Computer Society

Book Volume: 2018-September

Conference Proceedings Title: Computing in Cardiology

Event location: Maastricht, NLD

ISBN: 9781728109589

DOI: 10.22489/CinC.2018.225

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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How to cite

APA:

Balaban, G., Halliday, B.P., Costa, C.M., Porter, B., Bai, W., Plank, G.,... Bishop, M.J. (2018). The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry. In Computing in Cardiology. Maastricht, NLD: IEEE Computer Society.

MLA:

Balaban, Gabriel, et al. "The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry." Proceedings of the 45th Computing in Cardiology Conference, CinC 2018, Maastricht, NLD IEEE Computer Society, 2018.

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