TY - GEN
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.
N1 - Publisher Copyright:
© 2018 Creative Commons Attribution.
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.
UR - https://www.scopus.com/pages/publications/85068781001
U2 - 10.22489/CinC.2018.225
DO - 10.22489/CinC.2018.225
M3 - Conference contribution
AN - SCOPUS:85068781001
T3 - Computing in Cardiology
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 -