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PMID: 22665507 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Personalization of atrial anatomy and electrophysiology as a basis for clinical modeling of radio-frequency ablation of atrial fibrillation.

IEEE transactions on medical imaging ·Vol. 32 ·No. 1 ·2013-01-00 ·Pages 73-84

Krueger MW, Seemann G, Rhode K, Keller DU, Schilling C, Arujuna A, Gill J, O'Neill MD, Razavi R, Dössel O

Abstract

Multiscale cardiac modeling has made great advances over the last decade. Highly detailed atrial models were created and used for the investigation of initiation and perpetuation of atrial fibrillation. The next challenge is the use of personalized atrial models in clinical practice. In this study, a framework of simple and robust tools is presented, which enables the generation and validation of patient-specific anatomical and electrophysiological atrial models. Introduction of rule-based atrial fiber orientation produced a realistic excitation sequence and a better correlation to the measured electrocardiograms. Personalization of the global conduction velocity lead to a precise match of the measured P-wave duration. The use of a virtual cohort of nine patient and volunteer models averaged out possible model-specific errors. Intra-atrial excitation conduction was personalized manually from left atrial local activation time maps. Inclusion of LE-MRI data into the simulations revealed possible gaps in ablation lesions. A fast marching level set approach to compute atrial depolarization was extended to incorporate anisotropy and conduction velocity heterogeneities and reproduced the monodomain solution. The presented chain of tools is an important step towards the use of atrial models for the patient-specific AF diagnosis and ablation therapy planing.

MeSH Terms
Ablation Techniques Anisotropy Atrial Fibrillation/pathology,physiopathology Atrial Function/physiology Electrocardiography Heart/anatomy & histology,physiology Heart Atria/anatomy & histology Heart Conduction System/anatomy & histology,physiology Humans Imaging, Three-Dimensional/methods Magnetic Resonance Imaging Models, Cardiovascular Precision Medicine
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Krueger Martin W
Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany. [email protected]
Seemann Gunnar
Rhode Kawal
Keller D U J
Schilling Christopher
Arujuna Aruna
Gill Jaswinder
O'Neill Mark D
Razavi Reza
Dössel Olaf
Article Info
Journal
IEEE transactions on medical imaging
Abbr.
IEEE Trans Med Imaging
ISSN
1558-254X
Published
2013-01-00
Epub
2012-00-30
Pages
73-84
Language
English
Region
United States
NLM ID
8310780
Subset
IM
Grants
British Heart Foundation · FS/10/65/28404 · United Kingdom
Medical Research Council · MR/J006742/1 · United Kingdom
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