QuaLiPerF P7

Modeling of function-perfusion-deformation interaction on liver lobules and cellular scale based on a bi-scale continuum FEM model

This project is funded through German Research Foundation (DFG) within the Research Unit Programme FOR 5151 "QuaLiPerF (Quantifying Liver Perfusion–Function Relationship in Complex Resection––A Systems Medicine Approach)" by grant number 436883643. Within this research unit, this project aims to numerically simulate the mechanically and biologically coupled perfusion-function processes on the lobular level. The model will provide information on perfusion changes induced by fat accumulation via portal vein ligation and liver resection. The following issues are addressed:

  1. Development and verification of function-perfusion biscale model on liver lobule level including metabolism and heterogeneities of the normal and steatotic liver.
  2. Validation of the model on the basis of animal model data and clinical data provided by the partners in the FOR 5151.
  3. Transfer and application of the model to investigate the influence of liver perfusion disturbance and resection on the distribution of hepatic functions as well as on the recovery of liver function and perfusion during regeneration.
  4. Development of a workflow for the semi-automated preparation of relevant patient data, numerical calculation and delivery of the results to the clinic as a basis for a clinically applicable planning tool.

Further information: https://qualiperf.de/projects/P7

Publications

  1. 2026

    1. Azhdari, M., Kamrava, M., Rezazadeh, G., Pathak, R., Schulze-Späte, U., Ricken, T., & Seyedpour, S. M. (2026). From mechanical models to clinical reality: A systematic review of finite element advances in dental implant design, biomechanics, and optimization. Materials Today Communications, 50, 114314. https://doi.org/10.1016/j.mtcomm.2025.114314
    2. Bafna, M., König, M., Saalfeld, S., Moulisova, V., Liska, V., Dahmen, U., & Albadry, M. (2026). Automated segmentation of hepatic vessels and lobules in whole-slide images using U-net models. Frontiers in Bioinformatics, Volume 6 - 2026. https://doi.org/10.3389/fbinf.2026.1713736
    3. Myshkina, M., Elias, M., Tensil, E., & König, M. (2026). Reproducibility of a Digital Twin of the Angiotensin II Receptor Blocker Losartan. https://doi.org/10.36903/physiome.31359823
    4. Elias, M., Myshkina, M., Nemitz, N., & König, M. (2026). Reproducibility of a Physiologically Based Pharmacokinetic and Pharmacodynamic (PBPK/PD) Model of Dapagliflozin. https://doi.org/10.36903/physiome.31368556
    5. Pathak, R., Seyedpour, S. M., Kutschan, B., Thom, A., Thoms, S., & Ricken, T. (2026). Computational modeling of sea ice freezing dynamics across scales. International Journal of Mechanical Sciences, 309, 111010. https://doi.org/10.1016/j.ijmecsci.2025.111010
    6. Azhdari, M., Rezazadeh, G., Pathak, R., Tautenhahn, H.-M., Tautenhahn, F., Ricken, T., & Seyedpour, S. M. (2026). A critical review of non-Fourier heat transfer theories with phase lag in bio-heating: Explaining the variations in reported phase lag coefficients. International Journal of Thermal Sciences, 220, 110376. https://doi.org/10.1016/j.ijthermalsci.2025.110376
    7. Alejandro, J., Elias, M., Babaeva, M., & König, M. (2026). A Digital Twin of Empagliflozin Pharmacokinetics and Pharmacodynamics. https://doi.org/10.20944/preprints202603.1559.v1
    8. Nemitz, N., Elias, M., & König, M. (2026). A Physiologically Based Pharmacokinetic and Pharmacodynamic (PBPK/PD) Model of Dapagliflozin in Type 2 Diabetes Mellitus: The Effect of Dosing, Hepatorenal Impairment, and Food. Pharmaceutics, 18, Article 3. https://doi.org/10.3390/pharmaceutics18030287
    9. Tensil, E., Myshkina, M., & König, M. (2026). A Digital Twin of the Angiotensin II Receptor Blocker Losartan: Physiologically Based Modeling of Blood Pressure Regulation. Pharmaceutics, 18, Article 2. https://doi.org/10.3390/pharmaceutics18020262

  2. 2025

    1. Pathak, R., Seyedpour, S. M., Kutschan, B., Thoms, S., & Ricken, T. (2025). A coupled multiscale description of seasonal Physical--BioGeoChemical dynamics in Southern Ocean Marginal Ice Zone. Environmental Modelling & Software, 185, 106270. https://doi.org/10.1016/j.envsoft.2024.106270
    2. Mandl, L., Goswami, S., Lambers, L., & Ricken, T. (2025). Separable physics-informed DeepONet: Breaking the curse of dimensionality in physics-informed machine learning. Computer Methods in Applied Mechanics and Engineering, 434, 117586. https://doi.org/10.1016/j.cma.2024.117586
    3. Suditsch, M., Egli, F. S., Lambers, L., & Ricken, T. (2025). Growth in biphasic tissue. International Journal of Engineering Science, 208, 104183. https://doi.org/10.1016/j.ijengsci.2024.104183
    4. Azhdari, M., Rezazadeh, G., Pathak, R., Tautenhahn, H.-M., Tautenhahn, F., Ricken, T., & Seyedpour, S. M. (2025). Non-Fourier bioheat transfer modeling: An extensive critical review of state of the art, caveats, and future directions. International Communications in Heat and Mass Transfer, 169, 109509. https://doi.org/10.1016/j.icheatmasstransfer.2025.109509
    5. Ali Mirza, Z., Azhdari, M., Kolomenskiy, D., Rezazadeh, G., Ricken, T., Pathak, R., Tautenhahn, H.-M., Tautenhahn, F., & Seyedpour, S. M. (2025). Enhancing laser therapy procedure through surface temperature control in multi-layered skin tissue. Journal of Thermal Biology, 129, 104106. https://doi.org/10.1016/j.jtherbio.2025.104106
    6. Azhdari, M., Rezazadeh, G., Ricken, T., Pathak, R., Tautenhahn, H.-M., Tautenhahn, F., & Seyedpour, S. M. (2025). Temperature distribution in multi-layered skin tissue during laser irradiation considering epidermis sublayers: Virtual Element Method approach. Thermal Science and Engineering Progress, 59, 103297. https://doi.org/10.1016/j.tsep.2025.103297
    7. Brodbeck, M., Suditsch, M., Seyedpour, S. M., & Ricken, T. (2025). Phase transition in porous materials: effects of material parameters and deformation regime on mass conservativity. Computational Mechanics, 75, Article 3. https://doi.org/10.1007/s00466-024-02557-2
    8. Tahouni, S., Azhdari, M., Rezazadeh, G., Fathalilou, M., Pathak, R., Ricken, T., & Seyedpour, S. M. (2025). Experimental and numerical analysis of heat transfer in polymer composites with metallic inclusions using virtual element method. Materials & Design, 255, 114172. https://doi.org/10.1016/j.matdes.2025.114172
    9. Almasi, A., Ricken, T., & Pierce, D. M. (2025). Finite elements of multiscale mixtures (FE2M) in three dimensions: theory, numerical implementation, and analyses. Computational Mechanics. https://doi.org/10.1007/s00466-025-02669-3

  3. 2024

    1. Brodbeck, M., Egli, F. S., Suditsch, M., Seyedpour, S. M., & Ricken, T. (2024). On the influence of non-linearity within two-phase poro-elasticity: Numerical examples and counterexamples. Examples and Counterexamples, 6, 100167. https://doi.org/10.1016/j.exco.2024.100167
    2. Tautenhahn, H.-M., Ricken, T., Dahmen, U., Mandl, L., Bütow, L., Gerhäusser, S., Lambers, L., Chen, X., Lehmann, E., Dirsch, O., & König, M. (2024). SimLivA–Modeling ischemia‐reperfusion injury in the liver: A first step towards a clinical decision support tool. GAMM-Mitteilungen. https://doi.org/10.1002/gamm.202370003
    3. Seyedpour, S. M., Azhdari, M., Lambers, L., Ricken, T., & Rezazadeh, G. (2024). One-dimensional thermomechanical bio-heating analysis of viscoelastic tissue to laser radiation shapes. International Journal of Heat and Mass Transfer, 218, 124747. https://doi.org/10.1016/j.ijheatmasstransfer.2023.124747
    4. Pathak, R., Seyedpour, S. M., Kutschan, B., Thom, A., Thoms, S., & Ricken, T. (2024). Modeling freezing and BioGeoChemical processes in Antarctic sea ice. Pamm, 24, Article 2. https://doi.org/10.1002/pamm.202400047
    5. Smith, L. P., Bergmann, F. T., Garny, A., Helikar, T., Karr, J., Nickerson, D., Sauro, H., Waltemath, D., & König, M. (2024). The simulation experiment description markup language (SED-ML): language specification for level 1 version 5. Journal of Integrative Bioinformatics. https://doi.org/10.1515/jib-2024-0008
    6. Albadry, M., Küttner, J., Grzegorzewski, J., Dirsch, O., Kindler, E., Klopfleisch, R., Liska, V., Moulisova, V., Nickel, S., Palek, R., Rosendorf, J., Saalfeld, S., Settmacher, U., Tautenhahn, H.-M., König, M., & Dahmen, U. (2024). Cross-species variability in lobular geometry and cytochrome P450 hepatic zonation: insights into CYP1A2, CYP2D6, CYP2E1 and CYP3A4. Frontiers in Pharmacology, 15. https://doi.org/10.3389/fphar.2024.1404938
    7. Azhdari, M., Rezazadeh, G., Lambers, L., Ricken, T., Tautenhahn, H.-M., Tautenhahn, F., & Seyedpour, S. M. (2024). Refining thermal therapy: Temperature distribution modeling with distinct absorption in multi-layered skin tissue during infrared laser exposure. International Communications in Heat and Mass Transfer, 157, 107818. https://doi.org/10.1016/j.icheatmasstransfer.2024.107818
    8. Tautenhahn, H.-M., Ricken, T., Dahmen, U., Mandl, L., Bütow, L., Gerhäusser, S., Lambers, L., Chen, X., Lehmann, E., Dirsch, O., & König, M. (2024). SimLivA-Modeling ischemia-reperfusion injury in the liver: A first step towards a clinical decision support tool. GAMM-Mitteilungen. https://doi.org/10.1002/gamm.202370003

  4. 2023

    1. Lambers, L., Waschinsky, N., Schleicher, J., König, M., Tautenhahn, H.-M., Albadry, M., Dahmen, U., & Ricken, T. (2023). Quantifying Fat Zonation in Liver Lobules: An IntegratedMultiscale In-silico Model Combining DisturbedMicroperfusion and Fat Metabolism via aContinuum-Biomechanical Bi-scale, Tri-phasic Approach. https://doi.org/10.21203/rs.3.rs-3348101/v1
    2. Seyedpour, S. M., Lambers, L., Rezazadeh, G., & Ricken, T. (2023). Mathematical modelling of the dynamic response of an implantable enhanced capacitive glaucoma pressure sensor. Measurement: Sensors, 100936. https://doi.org/10.1016/j.measen.2023.100936
    3. Azhdari, M., Seyedpour, S. M., Lambers, L., Tautenhahn, H.-M., Tautenhahn, F., Ricken, T., & Rezazadeh, G. (2023). Non-local three phase lag bio thermal modeling of skin tissue and experimental evaluation. International Communications in Heat and Mass Transfer, 149, 107146. https://doi.org/10.1016/j.icheatmasstransfer.2023.107146
    4. Seyedpour, S. M., Thom, A., & Ricken, T. (2023). Simulation of Contaminant Transport through the Vadose Zone: A Continuum Mechanical Approach within the Framework of the Extended Theory of Porous Media (eTPM). Water, 15, Article 2. https://doi.org/10.3390/w15020343
    5. Mandl, L., Mielke, A., Seyedpour, S. M., & Ricken, T. (2023). Affine transformations accelerate the training of physics-informed neural networks of a one-dimensional consolidation problem. Scientific Reports, 13, Article 1. https://doi.org/10.1038/s41598-023-42141-x

  5. 2021

    1. Seyedpour, S. M., Nabati, M., Lambers, L., Nafisi, S., Tautenhahn, H.-M., Sack, I., Reichenbach, J. R., & Ricken, T. (2021). Application of Magnetic Resonance Imaging in Liver Biomechanics: A Systematic Review. Frontiers in Physiology, 12. https://doi.org/10.3389/fphys.2021.733393
    2. Christ, B., Collatz, M., Dahmen, U., Herrmann, K.-H., Höpfl, S., König, M., Lambers, L., Marz, M., Meyer, D., Radde, N., Reichenbach, J. R., Ricken, T., & Tautenhahn, H.-M. (2021). Hepatectomy-Induced Alterations in Hepatic Perfusion and Function - Toward Multi-Scale Computational Modeling for a Better Prediction of Post-hepatectomy Liver Function. Frontiers in Physiology, 12. https://doi.org/10.3389/fphys.2021.733868
    3. Lambers, L., Mielke, A., & Ricken, T. (2021). Semi-automated Data-driven FE Mesh Generation and Inverse Parameter Identification for a Multiscale and Multiphase Model of Function-Perfusion Processes in the Liver. Pamm, 21, Article 1. https://doi.org/10.1002/pamm.202100190
This image showsSteffen Gerhäusser

Steffen Gerhäusser

M.Sc.

Research Assistant

This image showsTim Ricken

Tim Ricken

Univ.-Prof. Dr.-Ing.

Head of Department

To the top of the page