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| Funder | Swedish Research Council |
|---|---|
| Recipient Organization | Lund University |
| Country | Sweden |
| Start Date | Jan 01, 2025 |
| End Date | Dec 31, 2028 |
| Duration | 1,460 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swedish Research Council |
| Grant ID | 2024-05439_VR |
What will be done?
I will invent new magnetic resonance imaging (MRI) methods for quantification of cardiovascular flow and function during physical exercise, and apply the methods to understand the super-normal function of the hearts of elite athletes, and to provide new insights into why patients with congenital heart disease have limited exercise tolerance.How will it be done?
I will use artificial intelligence and machine learning techniques to develop new three-dimensional and time-resolved (4D) motion-compensated MRI methods with images available within minutes after the patient scan.
Patient studies will be performed in close collaboration with world-leading clinical collaborators.Why is it important?The first signs of failure of the cardiovascular system are seen during physical exercise, and thus exercise imaging will provide novel information for early detection of disease, monitoring of disease progression, and surgical decision support.
However, current methods are too complex for clinical application and research studies, and are therefore barely used, and therefore the new methods will provide a quantum leap in cardiovascular diagnostics.Why me?
I have 15-years of experience of successful development of MRI methods for quantification of pathophysiology in the cardiovascular system.
Furthermore, I have excellent collaborations with clinical experts in the world-leading Cardiac MR Group in Lund, which ensures rapid translation of the results to clinical practice.
Lund University
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