David Sinden
David Sinden

Senior Research Scientist

Fraunhofer MEVIS

About Me

David Sinden is an applied mathematician working as a senior scientist at the Fraunhofer Institute for Digital Medicine MEVIS, in Bremen.

His research interests include ultrasound modelling, thermal ablation and pharmacokinetic models. He works within the modelling and simulation and image-guided therapy groups.

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Interests
  • Therapeutic Ultrasound
  • Thermal Ablation
  • Image-Guided Therapies
Education

  • PhD - Dynamical Systems

    Centre for Nonlinear Dynamics, University College London

  • MSc - Modern Applications of Mathematics

    University of Bath

  • BSc - Mathematics with Applied Mathematics and Theoretical Physics

    Imperial College London

Research
I’m a research scientist in image-guided therapies. Please reach out to collaborate!
Featured Publications
Improving image quality of single plane wave ultrasound via deep learning based channel compounding
Spatial chaos of an extensible conducting rod in a uniform magnetic field
Integrability of a conducting elastic rod in a magnetic field
Recent Publications
David Sinden (2024). Numerical Modelling for Simulation and Planning of Focused Ultrasound Treatments. In Image-Guided Focused Ultrasound Therapy: Physics and Clinical Applications Ed. F. Wu, G. ter Haar, I. Rivens (2024).
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Pauline Coralie Guillemin, David Sinden, Yacine M’Rad, Michael Schwenke, Jennifer Le Guevelou, Johan Uiterwijk, Orane Lorton, Max Scheffler, Pierre-Alexandre Poletti, Jürgen Jenne, Thomas Zilli, Rares Salomir (2022). A novel concept of transperineal focused ultrasound transducer for prostate cancer local deep hyperthermia treatments. Cancers 15(1) 163 (2022).
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Christina A. Neizert, Hoang N. C. Do, Miriam Zibell, Christian Rieder, David Sinden, Stefan M. Niehues, Janis L. Vahldiek, Kai S. Lehmann, Franz G. M. Poch (2022). Three-dimensional assessment of vascular cooling effects on hepatic microwave ablation in a standardized ex vivo model. Sci. Rep. 12 17061 (2022).
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Karl Heimes, Marina Evers, Tim Gerrits, Sandeep Gyawali, David Sinden, Tobias Preusser, Lars Linsen (2022). Studying the effect of tissue properties on radiofrequency ablation by visual simulation ensemble analysis. VCBM 2022: Eurographics Workshop on Visual Computing for Biology and Medicine.
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Santeri Kaupinmäki, Ben Cox, Simon Arridge, Christian Baker, David Sinden, Bajram Zeqiri (2021). Pyroelectric ultrasound sensor model: directional response. Meas. Sci. Technol. 32 035106 (2021).
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