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Related Experiment Video

Updated: Oct 14, 2025

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

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

Published on: January 8, 2013

Mapping electric bulk conductivity in the human heart.

Ulrich Katscher¹, Steffen Weiss¹

¹Philips Research Europe, Hamburg, Germany.

Magnetic Resonance in Medicine

|November 5, 2021

Summary

This study shows that magnetic resonance imaging (MRI) can map electric conductivity in the heart. Researchers determined conductivity values for myocardium and blood, proving technical feasibility for cardiac diagnosis.

Keywords:

blood conductivity blood flow cardiac MRI conductivity imaging electrical properties tomography myocardial conductivity

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Area of Science:

Biophysics
Medical Imaging
Cardiovascular Science

Background:

Mapping electric conductivity in the human heart is crucial for understanding cardiac function and diagnosing conditions.
Previous methods for measuring cardiac conductivity have limitations.

Purpose of the Study:

To assess the technical feasibility of mapping electric bulk conductivity in the human heart.
To determine quantitative conductivity values for myocardium and blood in healthy volunteers.

Main Methods:

Utilized a 3T MRI system with time-resolved 2D sequences over the cardiac cycle.
Applied electrical properties tomography (EPT) to derive 2D conductivity.
Validated findings with static 3D sequences and Q-flow sequences for one volunteer.

Main Results:

Quantitative 2D conductivity values for blood and myocardium were approximately two-thirds of 3D conductivity values, aligning with theoretical expectations.
Obtained conductivity values were consistent with existing literature.
Observed characteristic conductivity fluctuations in the left ventricle correlated with blood flow dynamics.

Conclusions:

Demonstrated the technical feasibility of measuring cardiac conductivity using standard MRI systems and sequences.
This technique holds potential for novel MR-based cardiac diagnostic applications.