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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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
ISBN (Electronic)	9781728109589
DOIs	https://doi.org/10.22489/CinC.2018.225
State	Published - Sep 2018
Externally published	Yes
Event	45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands Duration: 23 Sep 2018 → 26 Sep 2018

Publication series

Name	Computing in Cardiology
Volume	2018-September
ISSN (Print)	2325-8861
ISSN (Electronic)	2325-887X

Conference

Conference	45th Computing in Cardiology Conference, CinC 2018
Country/Territory	Netherlands
City	Maastricht
Period	23/09/18 → 26/09/18

Access to Document

10.22489/CinC.2018.225

Cite this

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 Article 8743741 (Computing in Cardiology; Vol. 2018-September). IEEE Computer Society. https://doi.org/10.22489/CinC.2018.225

@inproceedings{88c0718222aa4287be3c3961c9c2e331,

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.}",

note = "Publisher Copyright: {\textcopyright} 2018 Creative Commons Attribution.; 45th Computing in Cardiology Conference, CinC 2018 ; Conference date: 23-09-2018 Through 26-09-2018",

year = "2018",

month = sep,

doi = "10.22489/CinC.2018.225",

language = "English",

series = "Computing in Cardiology",

publisher = "IEEE Computer Society",

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

}

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., 8743741, Computing in Cardiology, vol. 2018-September, IEEE Computer Society, 45th Computing in Cardiology Conference, CinC 2018, Maastricht, Netherlands, 23/09/18. https://doi.org/10.22489/CinC.2018.225

The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry. / Balaban, Gabriel; Halliday, Brian P.; Costa, Caroline Mendonca et al.
Computing in Cardiology Conference, CinC 2018. IEEE Computer Society, 2018. 8743741 (Computing in Cardiology; Vol. 2018-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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

Y1 - 2018/9

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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M3 - Conference contribution

AN - SCOPUS:85068781001

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ER -

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

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