Prof. A.J. Nederveen

Research line

When the first MRI scanners were introduced to the Netherlands in the early 80s, it was thought that 5 MRI scanners would serve the entire Dutch population. Presently more than 200 MRI scanners are installed and around 1 million exams are carried out each year. Several challenges and new developments  still await us on the horizon. Higher field strengths will facilitate unprecedented spatial resolutions offering a unique view of anatomy and physiology of diseases. Novel acquisition and reconstruction methods will decrease the scan-time enormously, diminishing the burden of undergoing MRI  for patients. Quantitative approaches are gaining popularity for acquisition and post-processing, in an effort to bridge the gap between the measured MRI signals and the (‘real’) underlying processes in the body. Interestingly, technical advances in MRI are primarily driven by the needs of medical professionals and patients. The ultimate challenge for MRI scientists is to make their new developments available to the clinic so that medical professionals and patients can benefit from state-of-the-art technology and healthcare.

My general research goal is to develop new clinical MRI methods. This entails the design of new MRI methods for clinical use, their technical and clinical validation and ultimately advising on their clinical utilization. Over the years several MRI applications has been developed in the field of neurovascular, muscular and oncologic imaging in close collaboration with clinical partners inside and outside the Amsterdam UMC. Focus areas of current research comprise scan acceleration using compressed sensing and AI and quantitative high resolution imaging.

Research highlights

  • Advanced imaging of the carotid vessel wall
  • 4D flow MRI for intracranial vasculature and aneurysms at 7T
  • Functional imaging of the heart
  • Quantitative MRI: Pathological validation and prognostic potential
  • Perfusion imaging: Dynamic contrast enhanced magnetic resonance imaging using GRASP and machine learning
  • Non-invasive perfusion and diffusion imaging: intravoxel incoherent motion difussion-weighted magnetic resonance imaging
  • Quantitative Imaging of Skeletal Muscle Micro Structure and Damage
  • Functional Magnetic Resonance Spectroscopy in the brain
  • Functional brain imaging: task-based application and interventional studies

Research team

PhD students

Lukas Gottwald
Jithsa Monte, MD
Luuk Voskuilen
Carmen Blanken
Koen Baas
Liza Afzali-Hashemi
Laura Secondulfo
Marian Troelstra
Bobby Runderkamp

Susanne Rauh
Anne-Sophie van Schelt
Nienke Wassenaar

Support staff

Anita Robben-Auperle
Sandra van den Berg
Raschel Snoeks
Daphne Boucherie


Sanna Gevers
Johan van der Meer
Andre Sprengers
Henk-Jan Mutsaerts
Martijn Froeling
Dennis Heijtel
Lena Vaclavu
Kerry Zhang
Wouter Potters
Jules Nelissen
Jos Oudeman
Jasper Schoormans
Eva Peper
Valentina Mazzoli
Matthan Caan
Bram Coolen
Joena Blok

Key publications