Woutjan Branderhorst obtained a MSc degree in Computer Science from the Eindhoven University of Technology. He performed his graduation project in the Biomedical Engineering department, where he worked on machine learning techniques for automatic MRI-based atherosclerotic plaque classification. In 2011 he finished his PhD thesis "Focused multi-pinhole SPECT" at the University Medical Center Utrecht (Image Sciences Institute), under supervision of prof. Freek Beekman and prof. Max Viergever. He then continued to work as a post-doctoral fellow at the Academic Medical Center Amsterdam, where he worked with prof. Kees Grimbergen and prof. Ard den Heeten on the development and validation of pressure-guided mammography. Part of this work was performed as a visiting researcher at Volpara Solutions (New Zealand).
In May 2018, he returned to the UMC Utrecht to work in the group of prof. Hugo de Jong, applying his experience as a researcher and medical device developer to set up and contribute to the development of a simultaneous PET/MRI scanner in the University Medical Centre Utrecht. Since August 2023, he also works as a researcher and project manager under supervision of prof. Dennis Klomp and dr. Jeanine Prompers in the MAESTRO project. This project entails the development of acceleration and motion correction methods for metabolic MRI and employing the META-scan system to assess early therapy response in multiple different patient populations.
Woutjan's current research interests are acceleration and motion correction techniques for magnetic resonance spectroscopic imaging (MRSI), the development and application of simultaneous PET/MRSI, and the application of machine learning techniques in radiology and nuclear medicine.
University Medical Center Utrecht
Heidelberglaan 100
E.01.1.32
3584 CX Utrecht
The Netherlands
office: E.02.3.13
phone: +31 88 75 53185
secretary: +31 88 75 57772
Publications
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Evaluation of the radiofrequency performance of a wide-bore 1.5 T positron emission tomography/magnetic resonance imaging body coil for radiotherapy planning
Apr 2021 in Physics and Imaging in Radiation Oncology 17 p. 13-19 -
Minimizing the need for coil attenuation correction in integrated PET/MRI at 1.5 T using low-density MR-linac receive arrays
Oct 2021 in Physics in medicine and biology 66 (20), p. 1-12 -
Accelerated SPECT image reconstruction with FBP and an image enhancement convolutional neural network
Dec 2019 in EJNMMI physics 6 (1), -
Technical Note: Validation of two methods to determine contact area between breast and compression paddle in mammography
Aug 2017 in Medical Physics 44 (8), p. 4040-4044 -
Pressure-standardised mammography does not affect visibility, contrast and sharpness of stable lesions
Jan 2017 in European Journal of Radiology 86 p. 289-295 -
Mammographic compression--a need for mechanical standardization
Apr 2015 in European Journal of Radiology 84 (4), p. 596-602 -
Towards personalized compression in mammography: a comparison study between pressure- and force-standardization
Mar 2015 in European Journal of Radiology 84 (3), p. 384-391 -
Mammographic compression after breast conserving therapy: controlling pressure instead of force
Feb 2014 in Medical Physics 41 (2), p. 023501 -
Three-dimensional histologic validation of high-resolution SPECT of antibody distributions within xenografts
2014 in Journal of Nuclear Medicine 55 (5), p. 830-837 -
A novel approach to mammographic breast compression: Improved standardization and reduced discomfort by controlling pressure instead of force
Aug 2013 in Medical Physics 40 (8), p. 081901 -
Murine cardiac images obtained with focusing pinhole SPECT are barely influenced by extra-cardiac activity
2012 in Physics in Medicine and Biology 57 (3), p. 717-732 -
Targeted multi-pinhole SPECT
2011 in European Journal of Nuclear Medicine and Molecular Imaging 38 (3), p. 552-561 -
Pixel-based subsets for rapid multi-pinhole SPECT reconstruction
2010 in Physics in Medicine and Biology 55 (7), p. 2023-2034 -
U-SPECT-II: An Ultra-High-Resolution Device for Molecular Small-Animal Imaging
Apr 2009 in Journal of Nuclear Medicine 50 (4), p. 599-605 -
Quantification of atherosclerotic plaque components using in vivo MRI and supervised classifiers
Apr 2006 in Magnetic Resonance in Medicine 55 (4), p. 790-799