prof. dr. ir. C.A.T. van den Berg

Full Professor

  • Computational Imaging

prof. dr. ir. C.A.T. van den Berg

Research Programs


Professor Nico van den Berg is the head of the Computational Imaging group for MRI diagnostics and therapy of the Centre of Image Sciences at the UMC Utrecht. The Computational Imaging group covers all aspects of the MRI workflow for diagnostics and therapy, from first principles modelling and hardware engineering to translating new MRI methods into clinic. For this purpose we draw on expertise and advances from the fields of (MR) physics, mathematics, computing and artificial intelligence.

One important research line is the exploration of next generation techniques to make MRI exams much shorter, reduce patient discomfort and therefore also increase robustness and diagnostic quality. An example of this is the MR-STAT technique developed within the group that can deliver quantitative MRI information based on raw time-domain signals in a fraction of scan time.
Moreover, within my group we have a large research activity on the use of MRI for radiation therapy. This includes 3D motion tracking of moving targets in  MR guided radiation delivery, MRI-only radiation planning and deep learning image processing applications for radiation therapy.

We pay considerable attention to translate our work to actual (clinical) usage in radiotherapy and radiology/ Currently, the group consists of three senior staff members, one computer scientist, four post-docs and eight PhD students.

Research Output (188)

Deep learning-based reconstruction of in vivo pelvis conductivity with a 3D patch-based convolutional neural network trained on simulated MR data

Gavazzi Soraya, van den Berg Cornelis A.T., Savenije Mark H.F., Kok H. Petra, de Boer Peter, Stalpers Lukas J.A., Lagendijk Jan J.W., Crezee Hans, van Lier Astrid L.H.M.W. 1 nov 2020, In: Magnetic Resonance in Medicine. 84 , p. 2772-2787 16 p.

Introduction of the snake antenna array:Geometry optimization of a sinusoidal dipole antenna for 10.5T body imaging with lower peak SAR

Steensma Bart, van de Moortele Pierre-Francois, Ertürk Arcan, Grant Andrea, Adriany Gregor, Luijten Peter, Klomp Dennis, van den Berg Nico, Metzger Gregory, Raaijmakers Alexander nov 2020, In: Magnetic Resonance in Medicine. 84 , p. 2885-2896 12 p.

Technical feasibility of magnetic resonance fingerprinting on a 1.5T MRI-linac

Bruijnen Tom, van der Heide Oscar, Intven Martijn P W, Mook Stella, Lagendijk Jan J W, Van den Berg Cornelis A T, Tijssen Rob H N 25 sep 2020, In: Physics in medicine and biology. 65

Improving the imaging performance of the 1.5 T MR-linac using a flexible, 32-channel, on-body receive array

Zijlema Stefan Emiel, Tijssen Rob H N, van Dijk Luca, Hackett Sara L, Wolthaus Jochem W H, Breimer Wico, Lagendijk Jan J W, Van den Berg Cornelis A T 22 jul 2020, In: Physics in medicine and biology. 65

Prospective GIRF-based RF phase cycling to reduce eddy current-induced steady-state disruption in bSSFP imaging

Bruijnen Tom, Stemkens Bjorn, van den Berg Cornelis Antonius Theodorus, Tijssen Rob Hendrikus Nicolaas jul 2020, In: Magnetic Resonance in Medicine. 84 , p. 115-127 13 p.

Investigating the challenges and generalizability of deep learning brain conductivity mapping

Hampe Nils, Katscher Ulrich, van den Berg Cornelis A T, Tha Khin Khin, Mandija Stefano 22 jun 2020, In: Physics in medicine and biology. 65 11 p.

Accelerated MR-STAT reconstructions using sparse Hessian approximations

van der Heide Oscar, Sbrizzi Alessandro, van den Berg Cornelis A T 22 jun 2020, In: IEEE transactions on medical imaging. 39 , p. 3737-3748 12 p.

The noise navigator for MRI-guided radiotherapy:an independent method to detect physiological motion

Navest R J M, Mandija S, Zijlema S E, Stemkens B, Andreychenko A, Lagendijk J J W, van den Berg C A T 17 jun 2020, In: Physics in medicine and biology. 65 12 p.

Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy

Terpstra Maarten, Maspero Matteo, D'Agata F, Stemkens Bjorn, Intven Martijn, Lagendijk JJW, van den Berg CAT, Tijssen Rob 14 mei 2020, In: Physics in Medicine and Biology. 65 14 p.

Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy.

Savenije Mark, Maspero Matteo, Sikkes Gonda G, van der Voort van Zyp Jochem, Kotte ANTJ, Bol GH, van den Berg CAT 11 mei 2020, In: Radiation Oncology. 15 , p. 104 12 p.

All Research Output (188)