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September 3, 2026Chaos An Interdisciplinary Journal of Nonlinear Science

Subject-specific personalization of 3D MRI-based heart models demonstrated very good agreement between experimental and simulated VT outcomes compared to models tuned from average values.

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Population

n=8 swine with chronic infarction used to build 3D digital twins from MR images

Comparison

Subject-specific personalization of 3D MRI-based… vs Models tuned from average values from all cases

Design

Preclinical

Key result

Subject-specific personalization of 3D MRI-based heart models demonstrated very good agreement between experimental and simulated VT outcomes compared to models tuned from average values.

Authors

JPJairo Rodríguez PadillaNCNicolas CedilnikBLBuntheng Ly

Discussion

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Overview

May advance VT prediction in infarct models; extends preclinical digital twins but leaves human translation open.

Key Points

  • To develop and validate a computationally efficient GPU-accelerated pipeline for 3D cardiac digital twins that accurately predicts infarct-related ventricular tachycardia.
  • Constructed 3D digital twins from MRI scans of swine with chronic myocardial infarction (n = 8).
  • Calibrated tissue-specific electrophysiological parameters (action potential duration, excitability, wave speed) for scar, border zone, and healthy tissue using endocardial bipolar voltage maps and electrograms.
  • Simulated electrical wave propagation using a GPU-accelerated Lattice-Boltzmann Method to reproduce animal pacing protocols and evaluate 10,000 virtual endocardial stimulation sites per model.
  • Subject-specific model parameterization yielded very good agreement with experimental ventricular tachycardia induction, whereas models parameterized with cohort-averaged values performed poorly.
  • In silico pacing across 10,000 virtual endocardial locations demonstrated a strong site-dependent variation in ventricular tachycardia inducibility.
  • Simulating 10 seconds of sustained ventricular tachycardia on a 1.2-million-voxel 3D mesh required 30 minutes on a standard laptop GPU.

Structured PICO

P
Population
8 swine with chronic infarction used to build 3D digital twins for simulating ventricular tachycardia.
I
Intervention
Subject-specific personalization of 3D MRI-based heart models using an efficient Lattice-Boltzmann Method with GPU-based accelerated code
C
Comparator
Models tuned from average values from all cases
O
Outcome
Agreement between experimental and simulated VT outcome (inducibility)surrogate

A computationally efficient, subject-specific 3D MRI-based digital twin pipeline accurately predicts infarct-related VT inducibility, highlighting its potential for clinical translation in VT risk assessment.

Cite This Study

Padilla et al. (2026) studied Chronic infarction and scar-related ventricular tachycardia (n=8). Subject-specific personalization of 3D MRI-based heart models vs. Models tuned from average values from all cases was evaluated on Ventricular tachycardia (VT) simulation outcome agreement with experiment. Subject-specific personalization of 3D MRI-based heart models demonstrated very good agreement between experimental and simulated VT outcomes compared to models tuned from average values.

synapsesocial.com/papers/6a993635636c6408cfa7f29fhttps://doi.org/10.1063/5.0336480
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