I03: Functional Modelling

The project "Functional Modelling" aims at simulating physiological effects in the human body. It delivers essential scientific findings, building the base for the design of a cognition-guided system. The project focuses on the development of numerical methods for the simulation of soft-tissue deformation and its sensitivity regarding specific target dimensions, based on applied forces or moments in the context of clinical applications. The methods developed are to be implemented in such a way that allows their real-time application on novel hardware platforms, such as manycore- or GPU-clusters.

Project Leader

Prof. Dr.
Vincent Heuveline
Contact
CV

Our Team

Publications

Heuveline V, et al.

"HiFlow3 - A Hardware-Aware Parallel Finite Element Package."

Tools for High Performance Computing. 139-151 (2012).

Schoch N, Engelhardt S, Zimmermann N, Speidel S, De Simone R, Wolf I, and Heuveline V.

"Integration of a biomechanical simulation for mitral valve reconstruction into a knowledge-based surgery assistance system."

Proceedings of SPIE 9415 Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions and Modeling (2015).

Kratzke J, Schoch N, Weis C, Mueller-Eschner M, Speidel S, Farag M, Beller CJ, and Heuveline V.

"Enhancing 4D PC-MRI in an aortic phantom considering numerical simulations."

Proceedings of SPIE 9412 Medical Imaging 2015: Physics of Medical Imaging (2015).

Schick M, Le Maitre OP, and Heuveline V.

"A Newton-Galerkin Method for Fluid Flow Exhibiting Uncertain Periodic Dynamics."

Journal on Uncertainty Quantification, 2(1):153–173 (2015).

[Awarded for the "SIGEST" paper from the SIAM/ASA JUQ in SIREV].

Kratzke J, Schick M, and Heuveline V.

"Uncertainty Quantification for FSI simulations on an aortic phantom."

Proceedings of ICUME Uncertainty in Mechanical Engineering (2015). [Accepted].

Suwelack S, Stoll M, Schalck S, Schoch N, Dillmann R, Bendl R, Heuveline V, and Speidel S.

"The Medical Simulation Markup Language (MSML) – Simplifying the Biomechanical Modeling Workflow."

Proceedings of MMVR21 Medicine Meets Virtual Reality (2014).

Schoch N, Kißler F, Stoll M, Engelhardt S, de Simone R, Wolf I, Bendl R, and Heuveline V.

"Comprehensive Pre- and Post-Processing for Numerical Simulations in Cardiac Surgery Assistance."

EMCL Preprint Issue (No. 02/2015) at the Preprint Series of the Engineering Mathematics and Computing Lab (2015).

Schoch N, Philipp P, Weller T, Engelhardt S, Volovyk M, Fetzer A, Nolden M, De Simone R, Wolf I, Maleshkova M, Rettinger A, Studer R, and Heuveline V.

"Cognitive Tools Pipeline for Assistance of Mitral Valve Surgery."

Proceedings of SPIE 9786 Medical Imaging: Image-Guided Procedures, Robotic Interventions and Modeling (2016). [Accepted].

Schick M, Song C, and Heuveline V.

"A Polynomial Chaos Method for Uncertainty Quantification in Blood Pump Simulation."

Proceedings of UNCECOMP2015 International Conference on Uncertainty Quantification in Computational Sciences and Engineering (2015). [Accepted]

Kratzke J, Rengier F, Weis C, Beller CJ, and Heuveline V.

"In vitro flow assessment: from PC-MRI to computational fluid dynamics including fluid-structure interaction.“

SPIE medical imaging (2016). [Accepted]