Literature DB >> 22505490

Comparing measured and simulated wave directions in the left atrium - a workflow for model personalization and validation.

Michael Burdumy1, Armin Luik, Peter Neher, Raghed Hanna, Martin W Krueger, Christopher Schilling, Hans Barschdorf, Cristian Lorenz, Gunnar Seemann, Claus Schmitt, Olaf Doessel, Frank M Weber.   

Abstract

Atrial arrhythmias are frequently treated using catheter ablation during electrophysiological (EP) studies. However, success rates are only moderate and could be improved with the help of personalized simulation models of the atria. In this work, we present a workflow to generate and validate personalized EP simulation models based on routine clinical computed tomography (CT) scans and intracardiac electrograms. From four patient data sets, we created anatomical models from angiographic CT data with an automatic segmentation algorithm. From clinical intracardiac catheter recordings, individual conduction velocities were calculated. In these subject-specific EP models, we simulated different pacing maneuvers and measurements with circular mapping catheters that were applied in the respective patients. This way, normal sinus rhythm and pacing from a coronary sinus catheter were simulated. Wave directions and conduction velocities were quantitatively analyzed in both clinical measurements and simulated data and were compared. On average, the overall difference of wave directions was 15° (8%), and the difference of conduction velocities was 16 cm/s (17%). The method is based on routine clinical measurements and is thus easy to integrate into clinical practice. In the long run, such personalized simulations could therefore assist treatment planning and increase success rates for atrial arrhythmias.

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Mesh:

Year:  2012        PMID: 22505490     DOI: 10.1515/bmt-2011-0059

Source DB:  PubMed          Journal:  Biomed Tech (Berl)        ISSN: 0013-5585            Impact factor:   1.411


  6 in total

Review 1.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

2.  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

3.  Techniques for automated local activation time annotation and conduction velocity estimation in cardiac mapping.

Authors:  C D Cantwell; C H Roney; F S Ng; J H Siggers; S J Sherwin; N S Peters
Journal:  Comput Biol Med       Date:  2015-04-25       Impact factor: 4.589

4.  Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps.

Authors:  Ana Ferrer-Albero; Eduardo J Godoy; Miguel Lozano; Laura Martínez-Mateu; Felipe Atienza; Javier Saiz; Rafael Sebastian
Journal:  PLoS One       Date:  2017-07-13       Impact factor: 3.240

Review 5.  Atrial conduction velocity mapping: clinical tools, algorithms and approaches for understanding the arrhythmogenic substrate.

Authors:  Sam Coveney; Chris Cantwell; Caroline Roney
Journal:  Med Biol Eng Comput       Date:  2022-07-22       Impact factor: 3.079

6.  Detailed Anatomical and Electrophysiological Models of Human Atria and Torso for the Simulation of Atrial Activation.

Authors:  Ana Ferrer; Rafael Sebastián; Damián Sánchez-Quintana; José F Rodríguez; Eduardo J Godoy; Laura Martínez; Javier Saiz
Journal:  PLoS One       Date:  2015-11-02       Impact factor: 3.240

  6 in total

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