A pre-clinical framework to characterize peri-infarct remodelling using in vivo t1 maps and CARTO data

Authors:
Mihaela Pop;Samuel Oduneye;Nilesh Ghugre;Elnaz Shokrolahi;Jen Barry;Yuesong Yang;Sudip Ghate;Roey Flor;Ilan Lashevsky;Eugene Crystal;Graham A. Wright
Affiliations:
Deptartment of Medical Biophysics, University of Toronto, Canada,Sunnybrook Research Institute, Toronto, Canada;Deptartment of Medical Biophysics, University of Toronto, Canada;Sunnybrook Research Institute, Toronto, Canada;Sunnybrook Research Institute, Toronto, Canada;Sunnybrook Research Institute, Toronto, Canada;Sunnybrook Research Institute, Toronto, Canada;Sunnybrook Research Institute, Toronto, Canada;Sunnybrook Research Institute, Toronto, Canada;Sunnybrook Research Institute, Toronto, Canada;Sunnybrook Research Institute, Toronto, Canada;Deptartment of Medical Biophysics, University of Toronto, Canada,Sunnybrook Research Institute, Toronto, Canada
Venue:
STACOM'12 Proceedings of the third international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Year:
2012

Citing 2
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Abstract

The purpose of this work was to use in vivo MR imaging and electro-anatomical maps to characterize dense scars and border zone, BZ (a mixture of collagen and viable fibers). To better understand how these measures might probe potentially arrhythmogenic substrates, we developed a preclinical swine model of chronic infarction and integrated in vivo MRI and electrophysiology (EP) data in five swine at 5-6 weeks post-infarction. Specifically, we first aligned and registered T1-maps (from MR studies) and bipolar voltage maps (from CARTO-EP studies) using Vurtigo, an open source software. We then performed a quantitative analysis based on circumferential segments defined in the short-axis of MR images. Our results demonstrated a negative linear relation between bipolar voltage maps and T1 maps within the first two mm of the endocardial surface. The results of our novel approach suggest that T1-maps combined with limited EP measurements can be used to evaluate the biophysical properties of healing myocardium post-infarction, and to distinguish between the infarct categories (i.e., dense scar vs. BZ) with remodelled electrical characteristics.