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Integrating Imaging and Invasive Pressure Data into a Multiscale Whole-Heart Model.

Marina Strocchi^1,2, Christoph M Augustin³, Matthias A F Gsell^3,4

¹National Heart and Lung Institute, Imperial College London, London W12 0NN, UK.

Journal of Biomechanical Engineering

|August 23, 2025

Summary

This summary is machine-generated.

We developed a systematic method to calibrate a whole-heart electromechanics model using clinical data. This validated model accurately replicates heart motion and response to pacing, aiding cardiovascular disease treatment decisions.

Keywords:

calibration clinical data electromechanics model multi-scale model patient-specific model whole-heart model

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Area of Science:

Biomedical Engineering
Computational Biology
Cardiovascular Physiology

Background:

Cardiovascular diseases are a leading cause of mortality, with treatment decisions hindered by complex clinical data integration.
Personalized physics-based models offer potential but face calibration and validation challenges.

Purpose of the Study:

To present a novel, systematic calibration method for a whole-heart, multi-scale, electromechanics model.
To validate the model's ability to replicate cardiac function and response to therapy using clinical data.

Main Methods:

Employed emulators, sensitivity analysis, and history matching for systematic model calibration.
Utilized ECG-gated CT and invasive LV pressure data to calibrate 25 model parameters.
Validated against CT-derived motion, chamber configurations, and hemodynamic response to biventricular pacing.

Main Results:

Achieved precise calibration, fitting key cardiac features within 0.8-10.8% of target values and 1.4 standard deviations.
Demonstrated accurate replication of atrioventricular plane displacement and end-diastolic/end-systolic configurations.
Successfully simulated the hemodynamic response to biventricular pacing, closely matching clinical measurements.

Conclusions:

The developed systematic calibration method enables robust integration of clinical data into whole-heart electromechanics models.
The validated model accurately captures local heart motion and therapeutic responses, showing promise for clinical decision support in cardiovascular disease management.