Literature DB >> 22665507

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

Martin W Krueger1, Gunnar Seemann, Kawal Rhode, D U J Keller, Christopher Schilling, Aruna Arujuna, Jaswinder Gill, Mark D O'Neill, Reza Razavi, Olaf Dössel.   

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.

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Year:  2012        PMID: 22665507     DOI: 10.1109/TMI.2012.2201948

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  24 in total

Review 1.  Lessons from computer simulations of ablation of atrial fibrillation.

Authors:  Vincent Jacquemet
Journal:  J Physiol       Date:  2016-03-04       Impact factor: 5.182

Review 2.  How computer simulations of the human heart can improve anti-arrhythmia therapy.

Authors:  Natalia A Trayanova; Kelly C Chang
Journal:  J Physiol       Date:  2016-01-18       Impact factor: 5.182

3.  In-silico modeling of atrial repolarization in normal and atrial fibrillation remodeled state.

Authors:  Martin W Krueger; Andreas Dorn; David U J Keller; Fredrik Holmqvist; Jonas Carlson; Pyotr G Platonov; Kawal S Rhode; Reza Razavi; Gunnar Seemann; Olaf Dössel
Journal:  Med Biol Eng Comput       Date:  2013-07-18       Impact factor: 2.602

4.  A three-dimensional finite element model of human atrial anatomy: new methods for cubic Hermite meshes with extraordinary vertices.

Authors:  Matthew J Gonzales; Gregory Sturgeon; Adarsh Krishnamurthy; Johan Hake; René Jonas; Paul Stark; Wouter-Jan Rappel; Sanjiv M Narayan; Yongjie Zhang; W Paul Segars; Andrew D McCulloch
Journal:  Med Image Anal       Date:  2013-03-21       Impact factor: 8.545

Review 5.  Improving cardiomyocyte model fidelity and utility via dynamic electrophysiology protocols and optimization algorithms.

Authors:  Trine Krogh-Madsen; Eric A Sobie; David J Christini
Journal:  J Physiol       Date:  2016-02-04       Impact factor: 5.182

Review 6.  Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances.

Authors:  Aurore Lyon; Ana Mincholé; Juan Pablo Martínez; Pablo Laguna; Blanca Rodriguez
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

7.  Towards personalized clinical in-silico modeling of atrial anatomy and electrophysiology.

Authors:  Martin W Krueger; Walther H W Schulze; Kawal S Rhode; Reza Razavi; Gunnar Seemann; Olaf Dössel
Journal:  Med Biol Eng Comput       Date:  2012-10-16       Impact factor: 2.602

8.  Computational Modeling for Antiarrhythmic Drugs for Atrial Fibrillation According to Genotype.

Authors:  Inseok Hwang; Je-Wook Park; Oh-Seok Kwon; Byounghyun Lim; Myunghee Hong; Min Kim; Hee-Tae Yu; Tae-Hoon Kim; Jae-Sun Uhm; Boyoung Joung; Moon-Hyoung Lee; Hui-Nam Pak
Journal:  Front Physiol       Date:  2021-05-13       Impact factor: 4.566

Review 9.  Three-dimensional cardiac computational modelling: methods, features and applications.

Authors:  Alejandro Lopez-Perez; Rafael Sebastian; Jose M Ferrero
Journal:  Biomed Eng Online       Date:  2015-04-17       Impact factor: 2.819

10.  ECG imaging of ventricular tachycardia: evaluation against simultaneous non-contact mapping and CMR-derived grey zone.

Authors:  Walther H W Schulze; Zhong Chen; Jatin Relan; Danila Potyagaylo; Martin W Krueger; Rashed Karim; Manav Sohal; Anoop Shetty; YingLiang Ma; Nicholas Ayache; Maxime Sermesant; Herve Delingette; Julian Bostock; Reza Razavi; Kawal S Rhode; Christopher A Rinaldi; Olaf Dössel
Journal:  Med Biol Eng Comput       Date:  2016-09-20       Impact factor: 2.602

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