title:: Patient-specific modelling of whole heart anatomy, dynamics and haemodynamics from four-dimensional cardiac CT images
publisher:: The Royal Society
people:: Viorel Mihalef, Razvan Ionasec, Puneet Sharma, Bogdan Georgescu, Ingmar Voigt, Michael Suehling, Dorin Comaniciu
organization:: Siemens Corporate Research, Siemens Healthineers
domain:: Medical Imaging, Computational Modeling, Computational Fluid Dynamics, Cardiology
link:: https://doi.org/10.1098/rsfs.2010.0036
citations:: 123 (OpenAlex) · 135 (Semantic Scholar) — as of 14 October 2026

Article record — Europe PMC. Free full text available via PMC3262442.
Summary
The paper that closes the loop from image to anatomy to physics. A patient-specific model of the whole human heart that integrates morphology, dynamics and haemodynamic parameters at the organ level - all four chambers and valves plus the ascending aorta and pulmonary artery, robustly estimated from four-dimensional cardiac CT.
The patient-specific geometry is then handed to a three-dimensional Navier-Stokes solver that derives realistic haemodynamics, constrained by the local anatomy, across the entire heart cycle. This is the anatomy-to-CFD pipeline in one paper: learned estimation of the geometry, physics-based simulation of the flow inside it.
Data Points
- Whole-heart patient-specific model: four chambers, four valves, ascending aorta and pulmonary artery
- Geometry estimated from 4D cardiac CT, then used as the boundary for a 3D Navier-Stokes solver
- Haemodynamics computed across the full cardiac cycle, constrained by the patient’s own anatomy
- Evaluated across a range of heart pathologies; results correlate with the relevant literature
- Published in Interface Focus, the Royal Society’s cross-disciplinary journal at the physics-biology interface
Reference
Interface Focus (The Royal Society) 1(3):286-296, 2011. doi:10.1098/rsfs.2010.0036 · PubMed 22670200
123-135 citations (OpenAlex / Semantic Scholar, October 2026)
Part of the complete record in Scientific Publications - Peer-Reviewed Research Record.

