TU Eindhoven mathematician awarded €1.5M Vici grant
Mathematician Remco Duits has been awarded one of the largest personal academic grants in the Netherlands: the NWO Vici grant. Duits will use the 1.5 million euros he has been awarded to develop a better automatic image analysis method for enhancement and detection of complex vasculature in medical imaging. The grant is an investment in innovative research, and is intended for accomplished academics who want to establish their own research group.
Many medical images are assessed by computers. Often there are complex vascular structures in medical images, where blood vessels appear to be superimposed. Think, for example, of the blood vessels around the eyeball or near the heart. On a 2D X-ray, these vessels are often difficult to distinguish from each other.
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Mathematician Remco Duits has been awarded one of the largest personal academic grants in the Netherlands: the NWO Vici grant. Duits will use the 1.5 million euros he has been awarded to develop a better automatic image analysis method for enhancement and detection of complex vasculature in medical imaging. The grant is an investment in innovative research, and is intended for accomplished academics who want to establish their own research group.
Many medical images are assessed by computers. Often there are complex vascular structures in medical images, where blood vessels appear to be superimposed. Think, for example, of the blood vessels around the eyeball or near the heart. On a 2D X-ray, these vessels are often difficult to distinguish from each other.
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Vici grant for mathematician Remco Duits
Mathematician Remco Duits has been awarded one of the largest personal academic grants in the Netherlands: the NWO Vici grant. Duits will use the 1.5 million euros he has been awarded to develop a better automatic image analysis method for enhancement and detection of complex vasculature in medical imaging. The grant is an investment in innovative research, and is intended for accomplished academics who want to establish their own research group.
Many medical images are assessed by computers. Often there are complex vascular structures in medical images, where blood vessels appear to be superimposed. Think, for example, of the blood vessels around the eyeball or near the heart. On a 2D X-ray, these vessels are often difficult to distinguish from each other. Automatic image analysis methods then sometimes wrongly connect blood vessels (see for example the middle picture below). A cardiologist navigating through a coronary artery wi