Dr Raoul van Loon

Associate Professor

Biomedical Engineering

+44 (0) 1792 602018

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Office - A_119
First Floor
Engineering Central
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0003-3581-5827

About

Dr Raoul van Loon currently leads a research team on computational biomedical modelling in the Department of Biomedical Engineering.

Raoul did his BSc and MSc in Mechanical Engineering at the Eindhoven University of Technology graduating in the group of Prof. Frank Baaijens. After that, he started my PhD in the Bioengineering department in the group of Prof. Frans van de Vosse working on the development of a fluid-structure interaction method for heart valve modelling. As a Marie Curie fellow, Raoul started work in the group of Spencer Sherwin in the Aeronautics Department at Imperial College London, focused on a further development and understanding of numerical techniques and models concerning the fluid-structure interaction of heart valves.

Raoul's current interests are in the use and development of computational methods to understand human physiology for diagnostic and treatment planning purposes. Current projects he's working on are focused around the lymphatic, cardiovascular and respiratory systems and on the development of novel medical devices. The challenges regarding the integration of real-life data into models is key in his work and as a result most projects are in close collaboration with clinicians, industrialists and experimental colleagues.

Biomedical Engineering Simulation and Testing Lab - BESTLab

Areas Of Expertise

Computational Modelling
Cardiovascular/Lymphatic Flows
Lymphatic/Heart Valves
Image-Based Modelling
Physics-Informed Neural Networks
Medical Devices

Publications

Research Highlights

Carson, J., Warrander, L., Johnstone, E., & van Loon, R. (2020). Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach. International Journal for Numerical Methods in Biomedical Engineering, 0
https://doi.org/10.1002/cnm.3267, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52055
Karakashian, K., Pike, C., & van Loon, R. (2018). Computational investigation of the Laplace law in compression therapy. Journal of Biomechanics
https://doi.org/10.1016/j.jbiomech.2018.12.021, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47969
Wilson, J., Edgar, L., Prabhakar, S., Horner, M., van Loon, R., & Moore, J. (2018). A fully coupled fluid-structure interaction model of the secondary lymphatic valve. Computer Methods in Biomechanics and Biomedical Engineering, 1-11.
https://doi.org/10.1080/10255842.2018.1521964, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43794
Watson, D., Sazonov, I., Zawieja, D., Moore, J., & van Loon, R. (2017). Integrated geometric and mechanical analysis of an image-based lymphatic valve. Journal of Biomechanics, 64, 172-179.
https://doi.org/10.1016/j.jbiomech.2017.09.040, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35694
Karakashian, K., Shaban, L., Pike, C., & van Loon, R. (2018). Investigation of Shape with Patients Suffering from Unilateral Lymphoedema. Annals of Biomedical Engineering, 46, 108-121.
https://doi.org/10.1007/s10439-017-1929-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35293
D’Onofrio, C., van Loon, R., Rolland, S., Johnston, R., North, L., Brown, S., Phillips, R., Sienz, J., Sienz, J., Johnston, R., van Loon, R., Rolland, S., & D'Onofrio, C. (2017). Three-dimensional computational model of a blood oxygenator reconstructed from micro-CT scans. Medical Engineering & Physics
https://doi.org/10.1016/j.medengphy.2017.06.035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34491
Grebennikov, D., van Loon, R., Novkovic, M., Onder, L., Savinkov, R., Sazonov, I., Tretyakova, R., Watson, D., & Bocharov, G. (2016). Critical Issues in Modelling Lymph Node Physiology. Computation, 5(1), 3
https://doi.org/10.3390/computation5010003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31455
Carson, J., Van Loon, R., & van Loon, R. (2016). An implicit solver for 1D arterial network models. International Journal for Numerical Methods in Biomedical Engineering, 33(7)
https://doi.org/10.1002/cnm.2837, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30518
Savinkov, R., Kislitsyn, A., Watson, D., van Loon, R., Sazonov, I., Novkovic, M., Onder, L., & Bocharov, G. (2017). Data-driven modelling of the FRC network for studying the fluid flow in the conduit system. Engineering Applications of Artificial Intelligence, 62, 341-349.
https://doi.org/10.1016/j.engappai.2016.10.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30588
Wilson, J., van Loon, R., Wang, W., Zawieja, D., & Moore, J. (2015). Determining the combined effect of the lymphatic valve leaflets and sinus on resistance to forward flow. Journal of Biomechanics, 48(13), 3584-3590.
https://doi.org/10.1016/j.jbiomech.2015.07.045, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24213
Loon, R., Huyghe, J., Wijlaars, M., Baaijens, F., & van Loon, R. (2003). 3D FE implementation of an incompressible quadriphasic mixture model. (pp. 1243-1258).
https://doi.org/10.1002/nme.723, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1929
Loon, R., Anderson, P., Hart, J., Baaijens, F., & van Loon, R. (2004). A combined fictitious domain/adaptive meshing method for fluid-structure interaction in heart valves. (pp. 533-544).
https://doi.org/10.1002/fld.775, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1930
Loon, R., Anderson, P., Vosse, F., & van Loon, R. (2006). A fluid-structure interaction method with solid-rigid contact for heart valve dynamics. (pp. 806-823).
https://doi.org/10.1016/j.jcp.2006.01.032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1931
Loon, R., Anderson, P., Vosse, F., Sherwin, S., & van Loon, R. (2007). Comparison of various fluid-structure interaction methods for deformable bodies. (pp. 833-843).
https://doi.org/10.1016/j.compstruc.2007.01.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1932
Loon, R. & van Loon, R. (2010). Special Issue: Fluid-structure interaction in biomedical applications. In International Journal for Numerical Methods in Biomedical Engineering
https://doi.org/10.1002/cnm.1371, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6003
Loon, R. & van Loon, R. (2011). Patient-specific blood flow simulation through an aneurysmal thoracic aorta with a folded proximal neck. In International Journal for Numerical Methods in Biomedical Engineering
https://doi.org/10.1002/cnm.1425, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6004
Loon, R. & van Loon, R. (2011). Modelling pipeline for subject-specific arterial blood flow-A review. In International Journal for Numerical Methods in Biomedical Engineering
https://doi.org/10.1002/cnm.1446, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6005
Loon, R. & van Loon, R. (2010). Towards computational modelling of aortic stenosis. International Journal for Numerical Methods in Biomedical Engineering, 26(3-4), 405-420.
https://doi.org/10.1002/cnm.1270, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6006
Vos, P., Loon, R., Sherwin, S., & van Loon, R. (2008). A comparison of fictitious domain methods appropriate for spectral/hp element discretisations. Computer Methods in Applied Mechanics and Engineering, 197(25-28), 2275-2289.
https://doi.org/10.1016/j.cma.2007.11.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6007
Bowles, C., New, S., Loon, R., Dreger, S., Biglino, G., Chan, C., Parker, K., Chester, A., Yacoub, M., Taylor, P., & van Loon, R. (2010). Hydrodynamic Evaluation of a Bioreactor for Tissue Engineering Heart Valves. Cardiovascular Engineering and Technology, 1(1), 10-17.
https://doi.org/10.1007/s13239-010-0007-5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6009
Low, K., Loon, R., Sazonov, I., Bevan, R., Nithiarasu, P., Nithiarasu, P., Sazonov, I., & van Loon, R. (2012). An improved baseline model for a human arterial network to study the impact of aneurysms on pressure-flow waveforms. International Journal for Numerical Methods in Biomedical Engineering, 28(12), 1224
https://doi.org/10.1002/cnm.2533, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14316
Nithiarasu, P., Sazonov, I., & van Loon, R. (2010). Application of a locally conservative Galerkin (LCG) method for modelling blood flow through a patient-specific carotid bifurcation. International Journal for Numerical Methods in Fluids
https://doi.org/10.1002/fld.2313, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5623
Nithiarasu, P., Sazonov, I., & van Loon, R. (2011). Influences of domain extensions to a moderately stenosed patient-specific carotid bifurcation: Investigation of wall quantities. International Journal of Numerical Methods for Heat & Fluid Flow, 21(8)
https://doi.org/10.1108/09615531111177741, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9125
Bevan, R., Boileau, E., van Loon, R., Lewis, R., & Nithiarasu, P. (2016). A comparative study of fractional step method in its quasi-implicit, semi-implicit and fully-explicit forms for incompressible flows. International Journal of Numerical Methods for Heat & Fluid Flow, 26(3/4), 595-623.
https://doi.org/10.1108/HFF-06-2015-0233, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25294
Sienz, J. & van Loon, R. (2016). Pore-Scale Modeling of Non-Newtonian Shear-Thinning Fluids in Blood Oxygenator Design. Journal of Biomechanical Engineering, 138(5), 051001
https://doi.org/10.1115/1.4032801, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26486
Low, K., van Loon, R., & Sienz, J. (2017). Formulation of Generalized Mass Transfer Correlations for Blood Oxygenator Design. Journal of Biomechanical Engineering, 139(3), 031007
https://doi.org/10.1115/1.4035535, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31508
Sazonov, I., Khir, A., Hacham, W., Boileau, E., Carson, J., van Loon, R., Ferguson, C., & Nithiarasu, P. (2017). A novel method for non-invasively detecting the severity and location of aortic aneurysms. Biomechanics and Modeling in Mechanobiology, 16(4), 1225-1242.
https://doi.org/10.1007/s10237-017-0884-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31819
Carson, J., van Loon, R., & Nithiarasu, P. (2018). Mathematical Techniques for Circulatory Systems. Reference Module in Biomedical Sciences Elsevier
https://doi.org/10.1016/B978-0-12-801238-3.99982-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37998
Carson, J., Lewis, M., Rassi, D., & van Loon, R. (2019). A data-driven model to study utero-ovarian blood flow physiology during pregnancy. Biomechanics and Modeling in Mechanobiology, 18, 1155-1176.
https://doi.org/10.1007/s10237-019-01135-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48907
KERNOT, D., Yang, J., Williams, N., Thomas, T., Ledger, P., Arora, H., & van Loon, R. (2022). Transient changes during microwave ablation simulation : a comparative shape analysis. Biomechanics and Modeling in Mechanobiology, 22
https://doi.org/10.1007/s10237-022-01646-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61532
Ormesher, L., Catchpole, J., Peacock, L., Pitt, H., Fabian-Hunt, A., Hayes, D., POPP, C., Carson, J., van Loon, R., Warrander, L., Büchling, K., & Heazell, A. (2023). The effect of prone positioning on maternal haemodynamics and fetal wellbeing in the third trimester–A primary cohort study with a scoping review. PLOS ONE, 18(10), e0287804
https://doi.org/10.1371/journal.pone.0287804, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64589
http://dx.doi.org/10.1371/journal.pone.0287804
Arora, H., Kernot, D., Giron, L., Howells, D., Darcy, M., Hoshino, M., Uesugi, K., van Loon, R., Tanaka, G., & Sera, T. (2024). Lung disease characterised via synchrotron radiation micro-CT and digital volume correlation (DVC). TrAC Trends in Analytical Chemistry, 172, 117588
https://doi.org/10.1016/j.trac.2024.117588, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65573
Coccarelli, A., van Loon, R., & Chien, A. (2024). A Computational Pipeline to Investigate Longitudinal Blood Flow Changes in the Circle of Willis of Patients with Stable and Growing Aneurysms. Annals of Biomedical Engineering, 52, 2000-2012.
https://doi.org/10.1007/s10439-024-03493-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65905
Carson, J., van Loon, R., & Arora, H. (2024). A personalised computational model of the impact of COVID-19 on lung function under mechanical ventilation. Computers in Biology and Medicine, 183, 109177
https://doi.org/10.1016/j.compbiomed.2024.109177, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67771
Popp, C., Carson, J., Drysdale, A., Arora, H., Johnstone, E., Myers, J., & van Loon, R. (2024). Development of non-invasive biomarkers for pre-eclampsia through data-driven cardiovascular network models. Scientific Reports, 14(1)
https://doi.org/10.1038/s41598-024-72832-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67777

All Research

Journal Articles

Carson, J., van Loon, R., & Arora, H. (2024). A personalised computational model of the impact of COVID-19 on lung function under mechanical ventilation. Computers in Biology and Medicine, 183, 109177
https://doi.org/10.1016/j.compbiomed.2024.109177, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67771
Popp, C., Carson, J., Drysdale, A., Arora, H., Johnstone, E., Myers, J., & van Loon, R. (2024). Development of non-invasive biomarkers for pre-eclampsia through data-driven cardiovascular network models. Scientific Reports, 14(1)
https://doi.org/10.1038/s41598-024-72832-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67777
Coccarelli, A., van Loon, R., & Chien, A. (2024). A Computational Pipeline to Investigate Longitudinal Blood Flow Changes in the Circle of Willis of Patients with Stable and Growing Aneurysms. Annals of Biomedical Engineering, 52, 2000-2012.
https://doi.org/10.1007/s10439-024-03493-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65905
Arora, H., Kernot, D., Giron, L., Howells, D., Darcy, M., Hoshino, M., Uesugi, K., van Loon, R., Tanaka, G., & Sera, T. (2024). Lung disease characterised via synchrotron radiation micro-CT and digital volume correlation (DVC). TrAC Trends in Analytical Chemistry, 172, 117588
https://doi.org/10.1016/j.trac.2024.117588, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65573
Ormesher, L., Catchpole, J., Peacock, L., Pitt, H., Fabian-Hunt, A., Hayes, D., POPP, C., Carson, J., van Loon, R., Warrander, L., Büchling, K., & Heazell, A. (2023). The effect of prone positioning on maternal haemodynamics and fetal wellbeing in the third trimester–A primary cohort study with a scoping review. PLOS ONE, 18(10), e0287804
https://doi.org/10.1371/journal.pone.0287804, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64589
http://dx.doi.org/10.1371/journal.pone.0287804
KERNOT, D., Yang, J., Williams, N., Thomas, T., Ledger, P., Arora, H., & van Loon, R. (2022). Transient changes during microwave ablation simulation : a comparative shape analysis. Biomechanics and Modeling in Mechanobiology, 22
https://doi.org/10.1007/s10237-022-01646-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61532
Carson, J., Warrander, L., Johnstone, E., & van Loon, R. (2020). Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach. International Journal for Numerical Methods in Biomedical Engineering, 0
https://doi.org/10.1002/cnm.3267, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52055
Carson, J., Lewis, M., Rassi, D., & van Loon, R. (2019). A data-driven model to study utero-ovarian blood flow physiology during pregnancy. Biomechanics and Modeling in Mechanobiology, 18, 1155-1176.
https://doi.org/10.1007/s10237-019-01135-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48907
Karakashian, K., Pike, C., & van Loon, R. (2018). Computational investigation of the Laplace law in compression therapy. Journal of Biomechanics
https://doi.org/10.1016/j.jbiomech.2018.12.021, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47969
Wilson, J., Edgar, L., Prabhakar, S., Horner, M., van Loon, R., & Moore, J. (2018). A fully coupled fluid-structure interaction model of the secondary lymphatic valve. Computer Methods in Biomechanics and Biomedical Engineering, 1-11.
https://doi.org/10.1080/10255842.2018.1521964, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43794
Karakashian, K., Shaban, L., Pike, C., & van Loon, R. (2018). Investigation of Shape with Patients Suffering from Unilateral Lymphoedema. Annals of Biomedical Engineering, 46, 108-121.
https://doi.org/10.1007/s10439-017-1929-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35293
Watson, D., Sazonov, I., Zawieja, D., Moore, J., & van Loon, R. (2017). Integrated geometric and mechanical analysis of an image-based lymphatic valve. Journal of Biomechanics, 64, 172-179.
https://doi.org/10.1016/j.jbiomech.2017.09.040, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35694
D’Onofrio, C., van Loon, R., Rolland, S., Johnston, R., North, L., Brown, S., Phillips, R., Sienz, J., Sienz, J., Johnston, R., van Loon, R., Rolland, S., & D'Onofrio, C. (2017). Three-dimensional computational model of a blood oxygenator reconstructed from micro-CT scans. Medical Engineering & Physics
https://doi.org/10.1016/j.medengphy.2017.06.035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34491
Sazonov, I., Khir, A., Hacham, W., Boileau, E., Carson, J., van Loon, R., Ferguson, C., & Nithiarasu, P. (2017). A novel method for non-invasively detecting the severity and location of aortic aneurysms. Biomechanics and Modeling in Mechanobiology, 16(4), 1225-1242.
https://doi.org/10.1007/s10237-017-0884-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31819
Savinkov, R., Kislitsyn, A., Watson, D., van Loon, R., Sazonov, I., Novkovic, M., Onder, L., & Bocharov, G. (2017). Data-driven modelling of the FRC network for studying the fluid flow in the conduit system. Engineering Applications of Artificial Intelligence, 62, 341-349.
https://doi.org/10.1016/j.engappai.2016.10.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30588
Low, K., van Loon, R., & Sienz, J. (2017). Formulation of Generalized Mass Transfer Correlations for Blood Oxygenator Design. Journal of Biomechanical Engineering, 139(3), 031007
https://doi.org/10.1115/1.4035535, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31508
Carson, J., Van Loon, R., & van Loon, R. (2016). An implicit solver for 1D arterial network models. International Journal for Numerical Methods in Biomedical Engineering, 33(7)
https://doi.org/10.1002/cnm.2837, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30518
Sienz, J. & van Loon, R. (2016). Pore-Scale Modeling of Non-Newtonian Shear-Thinning Fluids in Blood Oxygenator Design. Journal of Biomechanical Engineering, 138(5), 051001
https://doi.org/10.1115/1.4032801, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26486
Grebennikov, D., van Loon, R., Novkovic, M., Onder, L., Savinkov, R., Sazonov, I., Tretyakova, R., Watson, D., & Bocharov, G. (2016). Critical Issues in Modelling Lymph Node Physiology. Computation, 5(1), 3
https://doi.org/10.3390/computation5010003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31455
Bevan, R., Boileau, E., van Loon, R., Lewis, R., & Nithiarasu, P. (2016). A comparative study of fractional step method in its quasi-implicit, semi-implicit and fully-explicit forms for incompressible flows. International Journal of Numerical Methods for Heat & Fluid Flow, 26(3/4), 595-623.
https://doi.org/10.1108/HFF-06-2015-0233, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25294
Wilson, J., van Loon, R., Wang, W., Zawieja, D., & Moore, J. (2015). Determining the combined effect of the lymphatic valve leaflets and sinus on resistance to forward flow. Journal of Biomechanics, 48(13), 3584-3590.
https://doi.org/10.1016/j.jbiomech.2015.07.045, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24213
Low, K., Loon, R., Sazonov, I., Bevan, R., Nithiarasu, P., Nithiarasu, P., Sazonov, I., & van Loon, R. (2012). An improved baseline model for a human arterial network to study the impact of aneurysms on pressure-flow waveforms. International Journal for Numerical Methods in Biomedical Engineering, 28(12), 1224
https://doi.org/10.1002/cnm.2533, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14316
Nithiarasu, P., Sazonov, I., & van Loon, R. (2011). Influences of domain extensions to a moderately stenosed patient-specific carotid bifurcation: Investigation of wall quantities. International Journal of Numerical Methods for Heat & Fluid Flow, 21(8)
https://doi.org/10.1108/09615531111177741, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9125
Loon, R. & van Loon, R. (2010). Towards computational modelling of aortic stenosis. International Journal for Numerical Methods in Biomedical Engineering, 26(3-4), 405-420.
https://doi.org/10.1002/cnm.1270, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6006
Bowles, C., New, S., Loon, R., Dreger, S., Biglino, G., Chan, C., Parker, K., Chester, A., Yacoub, M., Taylor, P., & van Loon, R. (2010). Hydrodynamic Evaluation of a Bioreactor for Tissue Engineering Heart Valves. Cardiovascular Engineering and Technology, 1(1), 10-17.
https://doi.org/10.1007/s13239-010-0007-5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6009
Nithiarasu, P., Sazonov, I., & van Loon, R. (2010). Application of a locally conservative Galerkin (LCG) method for modelling blood flow through a patient-specific carotid bifurcation. International Journal for Numerical Methods in Fluids
https://doi.org/10.1002/fld.2313, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5623
Vos, P., Loon, R., Sherwin, S., & van Loon, R. (2008). A comparison of fictitious domain methods appropriate for spectral/hp element discretisations. Computer Methods in Applied Mechanics and Engineering, 197(25-28), 2275-2289.
https://doi.org/10.1016/j.cma.2007.11.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6007

Book Chapters

Carson, J., van Loon, R., & Nithiarasu, P. (2018). Mathematical Techniques for Circulatory Systems. Reference Module in Biomedical Sciences Elsevier
https://doi.org/10.1016/B978-0-12-801238-3.99982-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37998

Conference Contributions

Loon, R. & van Loon, R. (2011). Patient-specific blood flow simulation through an aneurysmal thoracic aorta with a folded proximal neck. In International Journal for Numerical Methods in Biomedical Engineering
https://doi.org/10.1002/cnm.1425, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6004
Loon, R. & van Loon, R. (2011). Modelling pipeline for subject-specific arterial blood flow-A review. In International Journal for Numerical Methods in Biomedical Engineering
https://doi.org/10.1002/cnm.1446, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6005
Loon, R. & van Loon, R. (2010). Special Issue: Fluid-structure interaction in biomedical applications. In International Journal for Numerical Methods in Biomedical Engineering
https://doi.org/10.1002/cnm.1371, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6003
Loon, R., Anderson, P., Vosse, F., Sherwin, S., & van Loon, R. (2007). Comparison of various fluid-structure interaction methods for deformable bodies. (pp. 833-843).
https://doi.org/10.1016/j.compstruc.2007.01.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1932
Loon, R., Anderson, P., Vosse, F., & van Loon, R. (2006). A fluid-structure interaction method with solid-rigid contact for heart valve dynamics. (pp. 806-823).
https://doi.org/10.1016/j.jcp.2006.01.032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1931
Loon, R., Anderson, P., Hart, J., Baaijens, F., & van Loon, R. (2004). A combined fictitious domain/adaptive meshing method for fluid-structure interaction in heart valves. (pp. 533-544).
https://doi.org/10.1002/fld.775, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1930
Loon, R., Huyghe, J., Wijlaars, M., Baaijens, F., & van Loon, R. (2003). 3D FE implementation of an incompressible quadriphasic mixture model. (pp. 1243-1258).
https://doi.org/10.1002/nme.723, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1929

Supervision

Active lung models for novel disease insight. (current)

PhD

Other supervisor: Dr Hari Arora
Graph Convolutional Neural Networks for Real Time Uncertainty Quantification of 1D Haemodynamic Vessel Systems (current)

PhD

Other supervisor: Dr Hari Arora
Fluid-structure interaction measurements of complex structures (current)

PhD

Other supervisor: Dr Hari Arora
Additive Manufacture of Energetic Materials (current)

PhD

Other supervisor: Dr Hari Arora
A novel high fidelity brain phantom testbed for medical devices. (current)

PhD

Other supervisor: Dr Hari Arora
Using Transient Computational Analysis to Aid Microwave Ablation Device Design for Liver Tissue (current)

PhD

Other supervisor: Dr Hari Arora
Numerical investigation of lymph flow through pumping lymphatics (awarded 2023)

PhD

Other supervisor: Prof Owen Guy
Unravelling the biomechanics of spondylolysis: A computational approach to optimising conservative treatment (current)

MSc

Other supervisor: Dr Hari Arora
Investigation into Cutometer testing with Digital Image Correlation to Capture Strain Fields across Skin Phantoms«br /» «br /» Investigation of Strain Field Capture through Digital Image Correlation under Cutometer testing across Skin Phantoms (current)

MSc

Other supervisor: Dr Hari Arora
Investigating the mechanical properties of healthy, obese, and lymphoedema diagnosed individuals (current)

MSc

Other supervisor: Dr Hari Arora
Mechanical Assessment of the Skin Through a Multiple Probe Framework to Improve the Assessment and Management of Lymphoedema (current)

MSc

Other supervisor: Dr Hari Arora
Using personalised cardiovascular models to identify new diagnostic predictors for pre-eclampsia (awarded 2023)

MSc

Other supervisor: Dr Alberto Coccarelli

Taught Modules

EG-215 Process Modelling

The module aims to develop the ability to construct mathematical models of processes so as to be able to predict their performance and optimise their design. Models of simple processes will lead to ordinary (or partial) differential equations, with special reference to biochemical and biomedical engineering processes, as well as environmental and general engineering systems..
EG-238 Experimental Studies for Medical Engineers

The course introduces the students to experimental studies in a wide range of subjects. Each experiment is self contained and the student will present the findings in written form through a lab report which will have a set of experiment specific questions to answer. This written report also forms the basis for the assessment. All students work in groups and carry out five experiments which vary according to discipline, however the assignments are all individually submitted. The students keep a log-book of the experimental observations and results, which is used for reference for the technical report from each experiment written-up in the week after the experiment.
EG-D14 MSc Dissertation - Biomedical Engineering

The module aims to develop fundamental research skills. It comprises the development of supervised research work leading to a dissertation in the field of the Master's degree programme. The specific research topic will be chosen by the student following consultation with academic staff.
EG-M321 Image-based Biomaterial Fabrication & Biomechanical Testing

This module aims to teach the student how theory, modelling, image processing and experimentation go hand in hand. The students will get exposed to a range of softwares and will experience how these can be integrated into an experimental workflow. At the basis of the work lie images. These can come from CAD softwares (solid works) or from image segmentation using scans from MRI, CT or ultrasound. These resulting geometries can then be created in the lab through casting or 3D printing using soft materials such as silicones or hydrogels. After the samples have been prepared the students can test them (e.g. mechanical testing) and analysed further using finite element analysis. The module will expose the students to a variety of scenarios to give them a awareness and appreciation of a broad set of techniques used in biomedical engineering, which will help them adapt easily to any lab based setting.
EG-M326 Biomedical Flows in Physiology and Medical Devices

The purpose of the module is to develop knowledge and understanding of biomedical flows in the human body or in medical devices. The students will learn about the different types of flows, such as cardiovascular, respiratory, lymphatic, synovial, cerebrospinal etc..., and will learn ways to quantify and analyse these flows using mathematical tools. The module covers the fundamental physics of flows, the fundamental physics of fluids and the applications in the biomedical field.
EGA336 Biomedical Flows in Physiology and Medical Devices

.The purpose of the module is to develop knowledge and understanding of biomedical flows in the human body or in medical devices. The students will learn about the different types of flows, such as cardiovascular, respiratory, lymphatic, synovial, cerebrospinal etc..., and will learn ways to quantify and analyse these flows using mathematical tools. The module covers the fundamental physics of flows, the fundamental physics of fluids and the applications in the biomedical field.
EGTX03 Engineering Analysis for Mechanical Engineers (MEEN-357)

This course provides a practical foundation for the use of numerical methods to solve engineering problems. The topics studied in this course are: error estimation, Taylor series, solution of non-linear algebraic equations and linear simultaneous equations; numerical integration and differentiation; initial value and boundary value problems. We will study these techniques mathematically and apply them to engineering problems. Personal computers are extensively used in this course and students are expected to program the numerical analysis techniques studied. MATLAB is the programming language to be used during this class. Although no previous knowledge of programming in general or MATLAB in particular is required, the students are expected to become proficient in the use of this tool by the end of the semester.
EGTX04 Statistics for Biomedical Engineering (BMEN 350)

This course is intended for students in biomedical engineering and covers statistical methods important for analyzing data arising from the medical device and pharmaceutical industry, biomedical research, clinical trials, and epidemiology; students will learn how to choose and apply suitable statistical tests to solve typical problems encountered during their careers as biomedical engineers.
EGTX05 Analysis and Design Project I (BMEN-453)

Group or team biomedical engineering analysis and design project involving statement, alternative approaches for solution, specific system analysis and design.
EGTX07 Computer Aided Engineering with MATLAB (BMEN-485)

The course provides a practical foundation for the use of numerical methods to solve engineering problems. It will review MATLAB programming techniques and apply these techniques to a range of engineering problems. By the end of the course students should 1) feel comfortable in a programming environment 2) be able to translate numerical formulations into a program, 3) solve engineering problems computationally with a critical view on accuracy and speed.
EGTX08 Engineering Biology (BMEN282)

The purpose of the course is to become familiar with fundamental concepts in molecular and cellular biology and to apply engineering principles to understand cellular functions.
EGTX09 Principles of Statistics I (STAT211)

This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical & chemical engineering. Any information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details. This module is taken as the equivalent of EG-285 Statistical and Computational Methods, which is taught in the Faculty of Science & Engineering at Swansea University.
EGTX10 Physiology for Bio-engineers (VTPP-434)

This course is intended for students in biomedical engineering and covers statistical methods important for analyzing data arising from the medical device and pharmaceutical industry, biomedical research, clinical trials, and epidemiology; students will learn how to choose and apply suitable statistical tests to solve typical problems encountered during their careers as biomedical engineers.
EGTX11 Chemical Engineering Mass Transfer Operation (CHEN324)

This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.
EGTX12 Process Dynamics and Control (CHEN461)

This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical and chemical engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.
EGTX13 Process Safety Engineering (CHEN455)

This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical and chemical engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.
EGTX14 Heat Transfer (MEEN461)

This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical and chemical engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.
EGTX15 Renewable Energy Conversion (BAEN414)

This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in medical and chemical engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.
EGTX17 Chemical Engineering Lab II (CHEN433)

TBA
EGTX18 Structural Analysis (A&M 306)

This module can only be undertaking at Texas A&M University as part of the undergraduate exchange program in aerospace engineering. The information in this module descriptor is for reference only and the student is referred to the module descriptor provided by the lecturer of the module upon arrival at Texas A&M for the exact details.
EGTX20 Subsonic Aerodynamics (A&M 301)

To be defined by Texas A&M
EGTX24 Technical and Business Writing (EGL210)

To be decided by Texas A&M
EGTX25 Essentials in Biology (BIOL113)

To be decided by Texas A&M
EGTX26 Chemical Engineering Materials (CHEN322)

To be decided by Texas A&M
EGTX27 MATH 251 Calculus 3 (Texas)

To be decided by Texas A&M

Career History

Adjunct Associate Professor, Dpt. Biomedical Engineering, Texas A&M University

2013 - Present
Associate Professor, C2EC, Swansea University

2012 - Present
Lecturer (RCUK fellow), C2EC, Swansea University

2007 - 2012
Research Fellow (Marie Curie Intra-European Fellowship), Dpt. Aeronautics, Imperial College London

2005 - 2007
PhD, Dpt. Biomedical Engineering, Eindhoven University of Technology

2001 - 2005

Key Grants and Projects

Marie Curie Intra-European Fellowship 2006 - 2007
EPSRC 2010 - 2011
NISCHR PhD studentship 2011 - 2014
BTG 2011 - 2012

Dr Raoul van Loon

Telephone number

Email address

Research Links

About

Areas Of Expertise

Research Highlights

All Research

Active lung models for novel disease insight. (current)

Graph Convolutional Neural Networks for Real Time Uncertainty Quantification of 1D Haemodynamic Vessel Systems (current)

Fluid-structure interaction measurements of complex structures (current)

Additive Manufacture of Energetic Materials (current)

A novel high fidelity brain phantom testbed for medical devices. (current)

Using Transient Computational Analysis to Aid Microwave Ablation Device Design for Liver Tissue (current)

Numerical investigation of lymph flow through pumping lymphatics (awarded 2023)

Unravelling the biomechanics of spondylolysis: A computational approach to optimising conservative treatment (current)

Investigation into Cutometer testing with Digital Image Correlation to Capture Strain Fields across Skin Phantoms«br /» «br /» Investigation of Strain Field Capture through Digital Image Correlation under Cutometer testing across Skin Phantoms (current)

Investigating the mechanical properties of healthy, obese, and lymphoedema diagnosed individuals (current)

Mechanical Assessment of the Skin Through a Multiple Probe Framework to Improve the Assessment and Management of Lymphoedema (current)

Using personalised cardiovascular models to identify new diagnostic predictors for pre-eclampsia (awarded 2023)

EG-215 Process Modelling

EG-238 Experimental Studies for Medical Engineers

EG-D14 MSc Dissertation - Biomedical Engineering

EG-M321 Image-based Biomaterial Fabrication & Biomechanical Testing

EG-M326 Biomedical Flows in Physiology and Medical Devices

EGA336 Biomedical Flows in Physiology and Medical Devices

EGTX03 Engineering Analysis for Mechanical Engineers (MEEN-357)

EGTX04 Statistics for Biomedical Engineering (BMEN 350)

EGTX05 Analysis and Design Project I (BMEN-453)

EGTX07 Computer Aided Engineering with MATLAB (BMEN-485)

EGTX08 Engineering Biology (BMEN282)

EGTX09 Principles of Statistics I (STAT211)

EGTX10 Physiology for Bio-engineers (VTPP-434)

EGTX11 Chemical Engineering Mass Transfer Operation (CHEN324)

EGTX12 Process Dynamics and Control (CHEN461)

EGTX13 Process Safety Engineering (CHEN455)

EGTX14 Heat Transfer (MEEN461)

EGTX15 Renewable Energy Conversion (BAEN414)

EGTX17 Chemical Engineering Lab II (CHEN433)

EGTX18 Structural Analysis (A&M 306)

EGTX20 Subsonic Aerodynamics (A&M 301)

EGTX24 Technical and Business Writing (EGL210)

EGTX25 Essentials in Biology (BIOL113)

EGTX26 Chemical Engineering Materials (CHEN322)

EGTX27 MATH 251 Calculus 3 (Texas)

Adjunct Associate Professor, Dpt. Biomedical Engineering, Texas A&M University

Associate Professor, C2EC, Swansea University

Lecturer (RCUK fellow), C2EC, Swansea University

Research Fellow (Marie Curie Intra-European Fellowship), Dpt. Aeronautics, Imperial College London

PhD, Dpt. Biomedical Engineering, Eindhoven University of Technology

Marie Curie Intra-European Fellowship 2006 - 2007

EPSRC 2010 - 2011

NISCHR PhD studentship 2011 - 2014

BTG 2011 - 2012