2013 | OriginalPaper | Buchkapitel
A Pre-clinical Framework to Characterize Peri-infarct Remodelling Using in vivo T1 Maps and CARTO Data
verfasst von : Mihaela Pop, Samuel Oduneye, Nilesh Ghugre, Elnaz Shokrolahi, Jen Barry, Yuesong Yang, Sudip Ghate, Roey Flor, Ilan Lashevsky, Eugene Crystal, Graham A. Wright
Erschienen in: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
Verlag: Springer Berlin Heidelberg
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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 T
1
-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 T
1
maps within the first two mm of the endocardial surface. The results of our novel approach suggest that T
1
-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.