Paper Info
Title
A pre-clinical framework to characterize peri-infarct remodelling using in vivo t1 maps and CARTO data
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.
Year
DOI
Venue
2012
10.1007/978-3-642-36961-2_37
STACOM
Keywords
Field
DocType
dense scar,myocardium post-infarction,vivo mr imaging,carto data,preclinical swine model,mr study,mr image,t1 map,limited ep measurement,peri-infarct remodelling,vivo mri,weeks post-infarction,bipolar voltage map,pre-clinical framework
Biomedical engineering,Mr imaging,Infarction,Border zone,In vivo,Peri,Scars,Open source software,Medicine,Linear relation
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
11
Name
Order
Citations
PageRank
Mihaela Pop18719.46
Samuel Oduneye2144.10
Nilesh Ghugre300.34
Elnaz Shokrolahi400.34
Jen Barry510.71
Yuesong Yang611.11
Sudip Ghate793.12
Roey Flor882.68
Ilan Lashevsky911.11
Eugene Crystal10286.46
Graham A. Wright1112325.09