Title :
Accurate endocardial activation representation of atria by noncontact mapping
Author :
Shu Meng ; Jichao Zhao ; Burton, Brett M. ; Lever, N.A. ; LeGrice, I.J. ; Smaill, B.H.
Author_Institution :
Auckland Bioeng. Inst., Univ. of Auckland, Auckland, New Zealand
Abstract :
Atrial fibrillation (AF) is the most common heart rhythm disturbance. Percutaneous catheter ablation has been less defined for patients with persistent AF (PeAF) even with optimally combined ablation approaches. The fundamental reason behind that is lack of knowledge on functional and anatomic substrates of PeAF and effective electrical mapping tools. To address this, our group aims to develop a novel high resolution noncontact multi-electrode array (MEA) mapping system that could map electrical activation in two atrial chambers simultaneously. Here, in this study, we explore the relationship between the electrical potentials recorded by MEA and actual ones at atrial endocardial surfaces by solving forward and inverse problems in a nutshell. Our results demonstrate that the potential-based forward/inverse method provides robust electrical transformation between MEAs and smoothed atrial anatomical structure.
Keywords :
bioelectric potentials; biomedical MRI; biomedical electrodes; cardiology; catheters; image reconstruction; image segmentation; inverse problems; medical image processing; microelectrodes; muscle; accurate endocardial activation representation; anatomic substrates; atrial chambers; atrial endocardial surfaces; atrial fibrillation; electrical activation; electrical mapping tools; electrical potential recording; electrical transformation; functional substrates; heart rhythm disturbance; high resolution noncontact multielectrode array mapping system; image reconstruction; image segmentation; inverse problems; magnetic resonance imaging; percutaneous catheter ablation; potential-based forward-inverse method; smoothed atrial anatomical structure; Atrial fibrillation; Catheters; Educational institutions; Equations; Inverse problems; Mathematical model; Surface reconstruction;
Conference_Titel :
Computing in Cardiology (CinC), 2012
Conference_Location :
Krakow
Print_ISBN :
978-1-4673-2076-4