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

doi:10.22489/CinC.2018.225

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 proceeding › Conference paper › peer-review

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.

Original language	English
Title of host publication	Computing in Cardiology Conference, CinC 2018
Publisher	IEEE Computer Society
Volume	2018-September
ISBN (Electronic)	9781728109589
DOIs	https://doi.org/10.22489/CinC.2018.225
Publication status	Published - 1 Sept 2018
Event	45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands Duration: 23 Sept 2018 → 26 Sept 2018

Conference

Conference	45th Computing in Cardiology Conference, CinC 2018
Country/Territory	Netherlands
City	Maastricht
Period	23/09/2018 → 26/09/2018

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10.22489/CinC.2018.225

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Balaban, G., Halliday, B. P., Costa, C. M., Porter, B., Bai, W., Plank, G., Rinaldi, C. A., Rueckert, D., Prasad, S. K., & Bishop, M. J. (2018). The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry. In Computing in Cardiology Conference, CinC 2018 (Vol. 2018-September). Article 8743741 IEEE Computer Society. https://doi.org/10.22489/CinC.2018.225

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title = "The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry",

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.",

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

year = "2018",

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doi = "10.22489/CinC.2018.225",

language = "English",

volume = "2018-September",

booktitle = "Computing in Cardiology Conference, CinC 2018",

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Balaban, G, Halliday, BP, Costa, CM , Porter, B, Bai, W, Plank, G, Rinaldi, CA, Rueckert, D, Prasad, SK & Bishop, MJ 2018, The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry. in Computing in Cardiology Conference, CinC 2018. vol. 2018-September, 8743741, IEEE Computer Society, 45th Computing in Cardiology Conference, CinC 2018, Maastricht, Netherlands, 23/09/2018. https://doi.org/10.22489/CinC.2018.225

TY - CHAP

T1 - The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry

AU - Balaban, Gabriel

AU - Halliday, Brian P.

AU - Costa, Caroline Mendonca

AU - Porter, Bradley

AU - Bai, Wenjia

AU - Plank, Gernot

AU - Rinaldi, Christopher A.

AU - Rueckert, Daniel

AU - Prasad, Sanjay K.

AU - Bishop, Martin J.

PY - 2018/9/1

Y1 - 2018/9/1

N2 - 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.

AB - 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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U2 - 10.22489/CinC.2018.225

DO - 10.22489/CinC.2018.225

M3 - Conference paper

AN - SCOPUS:85068781001

VL - 2018-September

BT - Computing in Cardiology Conference, CinC 2018

PB - IEEE Computer Society

T2 - 45th Computing in Cardiology Conference, CinC 2018

Y2 - 23 September 2018 through 26 September 2018

ER -

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

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