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Merhof, Dorit

Biomedical Engineering / Biomedizinische Technik

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Habibović, Pamela / Haueisen, Jens / Jahnen-Dechent, Wilhelm / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Leonhardt, Steffen / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenarz, Thomas / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen /


IMPACT FACTOR 2018: 1.007
5-year IMPACT FACTOR: 1.390

CiteScore 2018: 1.24

SCImago Journal Rank (SJR) 2018: 0.282
Source Normalized Impact per Paper (SNIP) 2018: 0.831

Online
ISSN
1862-278X
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Volume 57, Issue 2

Issues

Volume 57 (2012)

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

Michael Burdumy / Armin Luik / Peter Neher
  • Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • Philips Research Laboratories, Hamburg, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Raghed Hanna
  • Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • Philips Research Laboratories, Hamburg, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Martin W. Krueger
  • Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Christopher Schilling
  • Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • Other articles by this author:
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/ Hans Barschdorf / Cristian Lorenz / Gunnar Seemann
  • Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Claus Schmitt / Olaf Doessel
  • Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
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  • De Gruyter OnlineGoogle Scholar
/ Frank M. Weber
  • Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2012-02-22 | DOI: https://doi.org/10.1515/bmt-2011-0059

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.

Keywords: ablation; atrial fibrillation; electrophysiology; patient-specific models

About the article

Corresponding author: Michael Burdumy, Institute of Biomedical Engineering, KIT, Kaiserstrasse 12, 76131 Karlsruhe, Germany Phone: +49-721-60842650 Fax: +49-721-60842789


Received: 2011-05-26

Accepted: 2012-01-05

Published Online: 2012-02-22

Published in Print: 2012-04-01


Citation Information: Biomedizinische Technik/Biomedical Engineering, Volume 57, Issue 2, Pages 79–87, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: https://doi.org/10.1515/bmt-2011-0059.

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