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Automatic Neurovascular Image Analysis and Quantification


NICo-Lab is a spin-off company from the departments of Radiology and Biomedical Engineering and Physics of the Academic Medical Centre (AMC) in Amsterdam. They have developed a toolbox that consists of tailored algorithms to analyse and quantify different aspects of neurovascular medical images of patients that suffered from acute strokes. The toolbox can be applied in two ways; 1) as a service to clinical trials to support management, analysis and quantification of images therein and 2) as a decision support system for clinicians (neuro-radiologists, neuro-surgeons and neurologists) that treat acute stroke patients. Nico-Lab has established proof-of-concept for the first application by supporting a clinical trial (MR CLEAN). Quantitative analysis of 500 images demonstrated the benefits of intra-arterial (vs. intravenous) treatment of these patients. The main objectives of this SME Phase I project are to investigate the commercial feasibility of the second application as decision support system for clinicians. Radiological images are an important tool for clinicians to make treatment decisions for acute stroke patients. The NICo-Lab toolbox can support this decision through delivering fast and accurate analysis and quantification of the images to the clinicians. The field of acute strokes has seen many developments in treatment strategies in the last year, further underscoring the need for decision support systems such as the NICo-Lab toolbox.

Field of science

  • /natural sciences/chemical sciences/analytical chemistry/quantitative analysis
  • /medical and health sciences/medical biotechnology
  • /medical and health sciences/basic medicine/neurology/stroke
  • /natural sciences/computer and information sciences/software/application software/graphic design
  • /medical and health sciences/clinical medicine/radiology

Call for proposal

See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1


Science Park 402
1098 XH Amsterdam
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000