Biomedical imaging

Theme description

Biomedical imaging is a field that has seen ground-breaking technological innovation over the

last decades, greatly improving the resolution at which anatomy and function can be studied and quantified. TU Delft and Erasmus MC have contributed to important breakthroughs in this field. Innovative technologies are starting to reveal phenomena down to scale of individual molecules, enabling us to study health and disease with ever increasing precision. And imaging data help to carry out interventions and surgery more precisely and less invasive.

 

Novel technologies such as AI enable faster image acquisition, and improved interpretation of imaging data. Through convergence of our joint expertise over the whole biomedical imaging chain, we can generate an enduring impact on different healthcare settings where biomedical imaging plays a major role, with a focus on the value for the patient

 
 

Flagship “Deep Imaging”

We envision deep imaging as the integration of imaging physics, chemistry, biology and artificial intelligence. In this flagship, we will advance detector technology, image reconstruction, imaging tracers, and image analysis

  • to increase the diagnostic and prognostic information that can be derived from imaging data
  • to improve image guided interventions.

 

 

Achievements

  • Novel detector technologies to improve information content and image quality
  • Novel tracers to characterize processes in the human body
  • Integrate machine-learning with medical imaging for faster acquisition, better image quality and less imaging errors
  • Improved diagnosis and prognosis in e.g. Alzheimer’s disease, characterizing tumour subtype without biopsy, or selecting the optimal cancer therapy