Literature DB >> 23204274

Interventional endocardial motion estimation from electroanatomical mapping data: application to scar characterization.

Antonio R Porras1, Gemma Piella, Antonio Berruezo, Corne Hoogendoorn, David Andreu, Juan Fernandez-Armenta, Marta Sitges, Alejandro F Frangi.   

Abstract

Scar presence and its characteristics play a fundamental role in several cardiac pathologies. To accurately define the extent and location of the scar is essential for a successful ventricular tachycardia ablation procedure. Nowadays, a set of widely accepted electrical voltage thresholds applied to local electrograms recorded are used intraoperatively to locate the scar. Information about cardiac mechanics could be considered to characterize tissues with different viability properties. We propose a novel method to estimate endocardial motion from data obtained with an electroanatomical mapping system together with the endocardial geometry segmented from preoperative 3-D magnetic resonance images, using a statistical atlas constructed with bilinear models. The method was validated using synthetic data generated from ultrasound images of nine volunteers and was then applied to seven ventricular tachycardia patients. Maximum bipolar voltages, commonly used to intraoperatively locate scar tissue, were compared to endocardial wall displacement and strain for all the patients. The results show that the proposed method allows endocardial motion and strain estimation and that areas with low-voltage electrograms also present low strain values.

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Year:  2012        PMID: 23204274     DOI: 10.1109/TBME.2012.2230327

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  Quantitative Analysis of Electro-Anatomical Maps: Application to an Experimental Model of Left Bundle Branch Block/Cardiac Resynchronization Therapy.

Authors:  David Soto Iglesias; Nicolas Duchateau; Constantine Butakoff Kostantyn Butakov; David Andreu; Juan Fernandez-Armenta; Bart Bijnens; Antonio Berruezo; Marta Sitges; Oscar Camara
Journal:  IEEE J Transl Eng Health Med       Date:  2016-12-16       Impact factor: 3.316

2.  Pre to Intraoperative Data Fusion Framework for Multimodal Characterization of Myocardial Scar Tissue.

Authors:  Antonio R Porras; Gemma Piella; Antonio Berruezo; Juan Fernández-Armenta; Alejandro F Frangi
Journal:  IEEE J Transl Eng Health Med       Date:  2014-09-04       Impact factor: 3.316

3.  Characterization of respiratory and cardiac motion from electro-anatomical mapping data for improved fusion of MRI to left ventricular electrograms.

Authors:  Sébastien Roujol; Elad Anter; Mark E Josephson; Reza Nezafat
Journal:  PLoS One       Date:  2013-11-08       Impact factor: 3.240

  3 in total

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