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
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.
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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