Biography

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
  • Modelling and Simulation
Education

  • PhD in Dynamical Systems, 2008

    University College London

  • MSc in Modern Applications of Mathematics, 2004

    University of Bath

  • BSc in Mathematics with Applied Mathematics and Theoretical Physics, 2003

    Imperial College London

Experience

 
 
 
 
 
Fraunhofer Institute for Digital Medicine MEVIS
Senior Research Scientist
Fraunhofer Institute for Digital Medicine MEVIS
Dec 2019 – Present Bremen, Germany

Image-guided therapies group with Tobias Preusser. Responsibilities include:

  • Patient-specific thermal ablation simulation for microwave and ultrasound therapies
  • Pharmacokinetic modelling for modelling liver regeneration
  • Deep learning methods for ultrasound beamforming
 
 
 
 
 
National Physical Laboratory
Senior Research Scientist
National Physical Laboratory
Jul 2014 – Nov 2019 Teddington, UK

Medical ultrasound group with Bajram Zeqiri:

  • Worked on development of proto-type phase-insensitive piezo- and pyro-electric breast imaging system
  • Assessed design of ultrasound systems and generated acoustic fields for clinical imaging and therapy system for regulatory approval, via:
    • Measurement-based simulation for nonlinear propagation of ultrasound through complex media
    • Computational tools for ultrasound field characterisation
 
 
 
 
 
Institute of Cancer Research
Post-Doctoral Research Associate
Institute of Cancer Research
Aug 2011 – Jun 2014 Sutton, UK

Therapeutic ultrasound group with Prof Gail ter Haar

  • Design and implementation of treatment planning software for large phased-array ultrasound transducer for transcostal thermal ablations
 
 
 
 
 
University College London
Post-Doctoral Research Associate
University College London
Jul 2008 – Jul 2011 London, UK

Ultrasonics group with Prof. Nader Saffari

  • Modelling cavitation activity in tissue during high-intensity focus ultrasound therapy

Recent Posts

Awesome List of Scientific Computing Resources
Useful resources for scientific computing and numerical analysis, with a selection of ultrasound tools
David Sinden
Feb 19, 2023 10 min read Awesome Lists
Awesome List of Scientific Computing Resources
Annual Meeting of the Society for Thermal Medicine 2022
Talk on patient-specific computation of microwave ablation presented at Annual Meeting of the Society for Thermal Medicine
David Sinden
Jun 20, 2022 2 min read Conference
Project
Annual Meeting of the Society for Thermal Medicine 2022

Projects

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All Deep Learning Elasticity Ultrasound

Computational Topology in Medical Imaging

Applications of computational topology to medical imaging

MAIBAI: Metrology for Image-Based AI

MAIBAI: Metrology for Image-Based AI

Developing a metrological framework for assessment of image-based Artificial Intelligence systems for disease detection

Announcement Project home
AEGEUS

AEGEUS

A Novel EEG Ultrasound Device for Functional Brain Imaging and Neurostimulation

Project home
QualiPerF

QualiPerF

Quantifying Liver Perfusion-Function Relationship in Complex Resection – A Systems Medicine Approach

Follow QualiPerF Project home
EHMA

EHMA

Enhancing Hepatic Microwave Ablation

CUBDL: Challenge on Ultrasound Beamforming with Deep Learning

CUBDL: Challenge on Ultrasound Beamforming with Deep Learning

Challenge on Ultrasound Beamforming with Deep Learning

Challenge home
Cosserat Theory

Cosserat Theory

Deformation of an elastic conducting rod in a magnetic field

Featured Publications

Sven Rothlübbers, Hannah Strohm, Klaus Eickel, Jürgen Jenne, Vincent Kuhlen, David Sinden, Matthias Günther
November, 2020 2020 IEEE International Ultrasonics Symposium (IUS)
Improving image quality of single plane wave ultrasound via deep learning based channel compounding
Improving image quality of single plane wave ultrasound via deep learning based channel compounding

Deep learning methods for beamforming
PDF Cite Project DOI Award
David Sinden, Gert Van Der Heijden
June, 2009 J. Phy. A: Math. Theor. 42 375207 (2009)
Spatial chaos of an extensible conducting rod in a uniform magnetic field
Spatial chaos of an extensible conducting rod in a uniform magnetic field

Extensibility destroy integrability for a conducting rod in a uniform magnetic field
PDF Cite Project DOI arXiv
David Sinden, Gert Van Der Heijden
June, 2008 J. Phy. A: Math. Theor. 41 045207 (2008)
Integrability of a conducting elastic rod in a magnetic field
Integrability of a conducting elastic rod in a magnetic field

A conducting rod in uniform magnetic field is super integrable
PDF Cite Project DOI arXiv

Publications

Quickly discover relevant content by filtering publications, or see my Google Scholar profile.
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 “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 “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 “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.

PDF Cite DOI Supplementary Material Award

Santeri Kaupinmäki, Ben Cox, Simon Arridge, Christian Baker, David Sinden, Bajram Zeqiri “Pyroelectric ultrasound sensor model: directional response” Meas. Sci. Technol. 32 035106 (2021).

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Dongwoon Hyun, Alycen Wiacek, Sobhan Goudarzi, Sven Rothlübbers, Amir Asif, Klaus Eickel, Yonina C. Eldar, Jiaqi Huang, Massimo Mischi, Hassan Rivaz, David Sinden, Ruud J. G. Van Sloun, Hannah Strohm, Muyinatu A. Lediju Bell “Deep learning for ultrasound image formation: CUBDL evaluation framework and open datasets” IEEE Trans. Ultrason. Ferroelectr. Freq. Control 68(12) 3466-3483 (2021).

PDF Cite Dataset Project DOI

Sven Rothlübbers, Hannah Strohm, Klaus Eickel, Jürgen Jenne, Vincent Kuhlen, David Sinden, Matthias Günther “Improving image quality of single plane wave ultrasound via deep learning based channel compounding” 2020 IEEE International Ultrasonics Symposium (IUS).

PDF Cite Project DOI Award

Nadia A. S. Smith, David Sinden, Spencer A. Thomas, Marina Romanchikova, Jessica E. Talbott, Michael Adeogun “Building confidence in digital health through metrology” Br. J. Radiol. 93(1109) 20190574 (2020).

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Ki Joo Pahk, Pierre Gélat, David Sinden, Dipok Kumar Dhar, Nader Saffari “Numerical and experimental study of mechanisms involved in boiling histotripsy” Ultrasound Med. Biol. 43(12) 2848-2861 (2017).

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David Sinden, Srinath Rajagopal, N. Christopher Chaggares, Guofeng Pang, Oleg Ivanytskyy “Reducing uncertainties for spatial averaging at high frequencies” 2017 IEEE International Ultrasonics Symposium (IUS).

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David Sinden, Gail Ter Haar “Dosimetry implications for correct ultrasound dose deposition: uncertainties in descriptors, planning and treatment delivery” Transl. Cancer Res. 3(5) 459-471 (2014).

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David Sinden, Eleanor Stride, Nader Saffari “Approximations for acoustically excited bubble cluster dynamics” J. Phys.: Conf. Ser. 353 012008 (2012).

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David Sinden, Gert Van Der Heijden “The buckling of magneto-strictive Cosserat rods” ENOC2011 24-29 July 2011, Rome, Italy.

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Gert Van Der Heijden, David Sinden “Localisation of a twisted conducting rod in a uniform magnetic field: the Hamiltonian-Hopf-Hopf bifurcation” ENOC2011 24-29 July 2011, Rome, Italy.

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David Sinden, Eleanor Stride, Nader Saffari “The effects of nonlinear wave propagation on the stability of inertial cavitation” J. Phys.: Conf. Ser. 195 012008 (2009).

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David Sinden “Integrability, Localisation and Bifurcation of an Elastic Conducting Rod in a Uniform Magnetic Field” UCL PhD Thesis.

PDF Cite Project

David Sinden, Gert Van Der Heijden “Spatial chaos of an extensible conducting rod in a uniform magnetic field” J. Phy. A: Math. Theor. 42 375207 (2009).

PDF Cite Project DOI arXiv

David Sinden, Gert Van Der Heijden “Integrability of a conducting elastic rod in a magnetic field” J. Phy. A: Math. Theor. 41 045207 (2008).

PDF Cite Project DOI arXiv

Code

Links to software

github.com/waltsims/k-wave-python
This project is a Python implementation of v1.4.0 of the MATLAB toolbox k-Wave, as well as an interface to the pre-compiled v1.3 of k-Wave simulation binaries, which support NVIDIA sm 5.0 (Maxwell) to sm 9.0a (Hopper) GPUs.
github.com/djps/pyKZK
pyKZK
github.com/djps/pyKZK Jan 2021 – Feb 2023
Python3 implementation of version 2 of the FDA axisymmetric KZK HITU simulator.

Contact

How to contact me