prof. dr. ir. C.A.T. (Nico) van den Berg

prof. dr. ir. C.A.T. (Nico) van den Berg

Full Professor
prof. dr. ir. C.A.T. (Nico) van den Berg
  • Computational Imaging

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.

Prof. Van den Berg is one of the coordinators of the UMC Utrecht accelerator Image guided interventions and the UMCU AI lab for Imaging and Image guided interventions.


Prof. Van den Berg has a 0.9 fte position at the UMC Utrecht. Prof. Van den Berg is co-founder and a minority shareholder of UMCU spin off PrecorDx.  PrecorDx is the winner of the NWO Venture Challenge 2022.


Side Activities

Not applicable.

Research Output (246)

Automated pelvic MRI measurements associated with urinary incontinence for prostate cancer patients undergoing radical prostatectomy

van den Berg Ingeborg, Spaans Robert N, Wessels Frank J, van der Hoeven Erik J R J, Nolthenius Charlotte J Tutein, van den Bergh Roderick C N, van der Voort van Zyp Jochem R N, van den Berg Cornelis A T, van Melick Harm H E 2 Jan 2024, In: European radiology experimental. 8 10 p.

Water diffusion and T2 quantification in transient-state MRI:the effect of RF pulse sequence.

Fuderer Miha, van der Heide Oscar, Liu Hongyan, van den Berg Cornelis A T, Sbrizzi Alessandro Jan 2024, In: NMR in Biomedicine. 37 12 p.

The Development and External Validation of Artificial Intelligence-Driven MRI-Based Models to Improve Prediction of Lesion-Specific Extraprostatic Extension in Patients with Prostate Cancer

van den Berg Ingeborg, Soeterik Timo F W, van der Hoeven Erik J R J, Claassen Bart, Brink Wyger M, Baas Diederik J H, Sedelaar J P Michiel, Heine Lizette, Tol Jim, van der Voort van Zyp Jochem R N, van den Berg Cornelis A T, van den Bergh Roderick C N, van Basten Jean-Paul A, van Melick Harm H E 17 Nov 2023, In: Cancers. 15 10 p.

Erratum to:MRI-Based Transfer Function Determination through the Transfer Matrix by Jointly Fitting the Incident and Scattered B1+ Field (Magn Reson Med. 2020; 83:1081-1095)

Tokaya J P, Raaijmakers A J E, Eijbersen M A, Luijten P R, Sbrizzi A, van den Berg C A T 22 Oct 2023, In: Magnetic Resonance in Medicine. 91 , p. 850-853 4 p.

In response to Grivas et al

van den Berg Ingeborg, Savenije Mark H.F., Teunissen Frederik R., van de Pol Sandrine M.G., Rasing Marnix J.A., van Melick Harm H.E., Brink Wyger M., de Boer Johannes C.J., van den Berg Cornelis A.T., van der Voort van Zyp Jochem R.N. Oct 2023, In: Physics and Imaging in Radiation Oncology. 28 1 p.

Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis

Nijskens Lotte, van den Berg Cornelis A T, Verhoeff Joost J C, Maspero Matteo 18 Jul 2023, In: Physica Medica. 112

Real-time myocardial landmark tracking for MRI-guided cardiac radio-ablation using Gaussian Processes

Huttinga Niek Ricardo Ferdinand, Akdag Osman, Fast Martin F, Verhoeff Joost J C, Mohamed Hoesein Firdaus A A, Van den Berg Cornelis A T, Sbrizzi Alessandro, Mandija Stefano 20 Jun 2023, In: Physics in medicine and biology. 68 14 p.

Multi-echo MR thermometry in the upper leg at 7 T using near-harmonic 2D reconstruction for initialization

Kikken Mathijs W.I., Steensma Bart R., van den Berg Cornelis A.T., Raaijmakers Alexander J.E. Jun 2023, In: Magnetic Resonance in Medicine. 89 , p. 2347-2360 14 p.

Cartesian vs radial MR-STAT:An efficiency and robustness study

van der Heide Oscar, Sbrizzi Alessandro, van den Berg Cornelis A.T. Jun 2023, In: Magnetic Resonance Imaging. 99 , p. 7-19 13 p.

Gaussian Processes for real-time 3D motion and uncertainty estimation during MR-guided radiotherapy

Huttinga Niek R.F., Bruijnen Tom, van den Berg Cornelis A.T., Sbrizzi Alessandro 18 May 2023, In: Medical Image Analysis. 88 14 p.

All research output

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