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 T 1 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. © 2013 Springer-Verlag.
CITATION STYLE
Pop, M., Oduneye, S., Ghugre, N., Shokrolahi, E., Barry, J., Yang, Y., … Wright, G. A. (2013). A pre-clinical framework to characterize peri-infarct remodelling using in vivo T1 maps and CARTO data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7746 LNCS, pp. 326–335). https://doi.org/10.1007/978-3-642-36961-2_37
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