Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound
Cardiac model personalisation requires inferring mechanical parameters that are not directly measurable in vivo. Ultrafast ultrasound shear wave elastography (SWE) enables non-invasive tracking of myocardial stiffness dynamics over the cardiac cycle, providing a target for personalisation. However, mapping these observations to subject specific model parameters remains ill-posed, as multiple parameter sets can reproduce the same stiffness dynamics. We formulate SWE-informed personalisation as a statistical inference problem using simulation-based inference (SBI). Using a subject-adapted 0D cardiovascular model and neural posterior estimation, we estimate model-conditional posterior distri...
| Authors | Camilla Ferrario, Maelys Venet, Olivier Villemain et al. |
|---|---|
| Primary category | q-bio.QM |
| Published | 28 September 2026 |
| Last updated at source | 28 September 2026 |
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