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

Full Professor

  • Computational Imaging

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

Research Programs

Biography

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 (169)

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.

Accelerating implant RF safety assessment using a low-rank inverse update method

Stijnman Peter R.S., Tokaya Janot P., van Gemert Jeroen, Luijten Peter R., Pluim Josien P.W., Brink Wyger M., Remis Rob F., van den Berg Cornelis A.T., Raaijmakers Alexander J.E. mei 2020, In: Magnetic Resonance in Medicine. 83 , p. 1796-1809 14 p.

Deep learning-based MR-to-CT synthesis:The influence of varying gradient echo-based MR images as input channels

Florkow Mateusz C, Zijlstra Frank, Willemsen Koen, Maspero Matteo, van den Berg Cornelis A T, Kerkmeijer Linda G W, Castelein René M, Weinans Harrie, Viergever Max A, van Stralen Marijn, Seevinck Peter R apr 2020, In: Magnetic Resonance in Medicine. 83 , p. 1429-1441 13 p.

A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer

Maspero Matteo, Houweling Antonetta C., Savenije Mark H.F., van Heijst Tristan C.F., Verhoeff Joost J.C., Kotte Alexis N.T.J., van den Berg Cornelis A.T. apr 2020, In: Physics and Imaging in Radiation Oncology. 14 , p. 24-31 8 p.

High-resolution in vivo MR-STAT using a matrix-free and parallelized reconstruction algorithm

van der Heide Oscar, Sbrizzi Alessandro, Luijten Peter R, van den Berg Cornelis A T apr 2020, In: NMR in Biomedicine. 33 16 p.

A deep learning method for image-based subject-specific local SAR assessment

Meliadò E F, Raaijmakers A J E, Sbrizzi A, Steensma B R, Maspero M, Savenije M H F, Luijten P R, van den Berg C A T 1 feb 2020, In: Magnetic Resonance in Medicine. 83 , p. 695-711 17 p.

Transceive phase mapping using the PLANET method and its application for conductivity mapping in the brain

Gavazzi Soraya, Shcherbakova Yulia, Bartels Lambertus W., Stalpers Lukas J.A., Lagendijk Jan J.W., Crezee Hans, van den Berg Cornelis A.T., van Lier Astrid L.H.M.W. feb 2020, In: Magnetic Resonance in Medicine. 83 , p. 590-607 18 p.

Dosimetric impact of soft-tissue based intrafraction motion from 3D cine-MR in prostate SBRT

de Muinck Keizer D M, Kontaxis C, Kerkmeijer L G W, van der Voort van Zyp J R N, van den Berg C A T, Raaymakers B W, Lagendijk J J W, de Boer J C J 17 jan 2020, In: Physics in Medicine and Biology. 65 10 p.

The noise navigator:a surrogate for respiratory-correlated 4D-MRI for motion characterization in radiotherapy

Navest R J M, Mandija S, Bruijnen T, Stemkens B, Tijssen R H N, Andreychenko A, Lagendijk J J W, van den Berg C A T 13 jan 2020, In: Physics in medicine and biology. 65 9 p.

MR-MOTUS:model-based non-rigid motion estimation for MR-guided radiotherapy using a reference image and minimal k-space data

Huttinga Niek R F, van den Berg Cornelis A T, Luijten Peter R, Sbrizzi Alessandro 10 jan 2020, In: Physics in medicine and biology. 65 19 p.

All Research Output (169)