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Related Experiment Video

Updated: Jun 4, 2026

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

A reference dataset for verifying numerical electrophysiological heart models.

Hans Koch1, Ralf-Dieter Bousseljot, Olaf Kosch

  • 1Physikalisch-Technische Bundesanstalt, Abbestr, 2-12, 10587 Berlin, Germany. hans.koch@ptb.de

Biomedical Engineering Online
|January 29, 2011
PubMed
Summary
This summary is machine-generated.

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A new dataset enables the evaluation of numerical heart models. Magnetic Resonance Imaging (MRI) data and biosignals like Body Surface Potential Maps (BSPM) and MagnetoCardioGraphy (MCG) allow model verification.

Area of Science:

  • Computational biology
  • Biomedical engineering
  • Cardiovascular research

Background:

  • Evaluating numerical heart models is challenging due to the lack of a standardized reference database.
  • This study aimed to create an exemplary dataset to facilitate model comparison.

Purpose of the Study:

  • To compile a comprehensive dataset for the evaluation and verification of numerical heart models.
  • To provide a common input (MRI data) and measured biosignals (BSPM, MCG) for model assessment.

Main Methods:

  • Magnetic Resonance Imaging (MRI) of the heart and torso.
  • Recording of Body Surface Potential Maps (BSPM) and MagnetoCardioGraphy (MCG) maps.
  • Simultaneous recording of BSPM and MCG from the same individuals post-MRI.

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In Silico Clinical Trials for Cardiovascular Disease
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Last Updated: Jun 4, 2026

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Main Results:

  • A training dataset has been made publicly available.
  • Datasets for blind testing will be kept undisclosed to ensure objective model evaluation.

Conclusions:

  • MRI data can serve as a standardized input for diverse numerical heart models.
  • Model verification and comparison are achievable by contrasting measured biosignals with model-derived forward calculations.