icometrix takes part in the European project "B-Q Minded", which is funded by the H2020 - MSCA ETN Program. You
can find the full list of partners below.
Understanding the latest trend: Quantifying your MRI leads to more and better patient insights
MRI is evolving from a purely imaging modality towards a quantitative tool for precise measurement of brain
features. Quantitative MRI (Q-MRI) methods have mainly been explored in research settings and showed great
promise for use in clinical practice. The two Q-MRI techniques considered in the project will help to evaluate
- Relaxometry, which relates to microscopic tissue characteristics
- Diffusion MRI (dMRI), which provides insights in the underlying tissue structure of the brain.
The problem: At the moment, long scan times and large variability make Q-MRI use in clinical practice very
Mainly due to the long scan times, the implementation of Q-MRI in a routine clinical setting has not yet
Next to that, the development of straightforward imaging biomarkers is hampered by the variability in
as well as diffusion data.
The solution: B-Q MINDED aims to enable Q-MRI examinations in routine clinical practice
The optimized technologies for image acquisition and processing will drastically reduce scanning times and bring
Q-MRI within reach of clinical routine application.
The variability problem will be tackled by icometrix as follows:
- standardizing brain MRI diffusion parameter maps for multi-centre studies.
developing a model to extract diffusion MRI parameters taking into account variability between scans, in
order to obtain parameter maps that reflect physical properties. This model will be integrated in the SaaS
model of icometrix allowing its widespread use.
The future: Exploration of new disease-specific imaging biomarkers with a strong focus on characterizing each
When we look at the long-term implications, we envisage the combination of Q-MRI with big data approaches such
as machine learning to further establish quantitative MRI-based biomarkers for specific disorders.
List of Partners:
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- Universiteit Antwerpen: Vision Lab, Bio-Imaging Lab, Expert Group Antwerp Molecular Imaging (EGAMI-image)
- Erasmus MC
- Biomedical Imaging Group Rotterdam (BIGR)
- University of Sheffield
- Forschungszentrum Jülich
- Antwerp University Hospital
- Siemens Healthineers
- MR Solutions
- eScience Center
- Computer Vision Laboratory
- RWTH Aachen