Abstract
Cardiac digital twins (CDTs) provide a computational platform for personalized cardiac modeling, but their predictive behavior depends strongly on the selected ionic model and the representation of transmural electrophysiological heterogeneity. In this study, we developed a multiscale CDT validation framework that integrates physiologically optimized hierarchical configurations. Using single-cell (0D) models and three-dimensional (3D) patient-specific ventricular models, we implemented the ten Tusscher-Panfilov model (TT2) and Tomek ionic model and compared their electrophysiological responses across a range of pacing frequencies, with basic cycle lengths (BCLs) from 600 to 4000 ms. The results show that tissue-level electrical coupling substantially reshapes the intrinsic dynamical properties observed at the single-cell level. By benchmarking model outputs against clinical data, this study quantifies fidelity differences between the two ionic models across multiple scales and provides a scientific basis for ionic model selection and CDT construction.
Links to Paper and Supplementary Materials
Main Paper (Open Access Version): https://papers.miccai.org/miccai-2026-sat/paper/DT4H_005.pdf
SharedIt Link: Not yet available
SpringerLink (DOI): Not yet available
Supplementary Material: Not Submitted
Link to Open Review
Open Review Page: https://openreview.net/forum?id=y1aTD1lgMB
BibTex
@InProceedings{FuZhe_AHighFidelity_MICCAISAT2026,
author = { Fu, Zhenyin AND Kong, Zhaokai AND Xu, Lucheng AND Jiang, Mingfeng AND Xia, Ling AND Xu, Wenlong AND Dong, Ruiqing AND Deng, Dongdong},
title = { { A High-Fidelity Cardiac Digital Twin for Assessing Rate-Dependent Responses: A Comparative Multi-scale Study of TT2 and Tomek Models in Stratified 3D Ventricles } },
booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2026 Workshops and Challenges},
year = {2026},
publisher = {Springer Nature Switzerland},
volume = {LNCS 17275},
month = {pending},
page = {pending}
}