Magnetic resonance (MR) perfusion imaging is used for diagnostics and therapy monitoring mostly in oncology, neurology and cardiology, providing assessment of the perfusion status of a tissue on the capillary level. However, current MR perfusion imaging methods are still not ready for routine clinical use. They still remain mostly on the experimental level. The main methods for MR perfusion imaging are Dynamic Contrast-Enhanced (DCE) MRI, Dynamic Susceptibility- Contrast (DSC) MRI and Arterial Spin Labeling (ASL). So far, they have been treated as competing methods and compared among each other to find the best one. In this project, we propose a very different approach that might push MR perfusion imaging towards a reliable reproducible measurement method. We propose a connection of these MR perfusion imaging approaches using a joint approach. We will develop advanced interconnected pharmacokinetic models, compressed-sensing MR acquisition and image reconstruction schemes that utilize the complementary information provided by these three methods.

Keywords
magnetic resonance;perfusion;pharmacokinetic modeling;optimization;regularization; compressed sensing

22-10953S

English

Rajmic Pavel, prof. Mgr., Ph.D. - principal person responsible
Mangová Marie, Ing., Ph.D. - fellow researcher
Mokrý Ondřej, Ing., Ph.D. - fellow researcher

Department of Telecommunications
- responsible department (19.4.2021 - not assigned)
Department of Telecommunications
- co-beneficiary (1.1.2022 - 31.12.2024)
The Czech Academy of Sciences
- beneficiary (1.1.2022 - 31.12.2024)

Kanli, G.;Boudissa, S.; Jirik, R.; Adamsen, T.; Espedal, H.; Rolfnes, H.O.;Thorsen, F.;Pacheco-Torres, J.;Bassam, J.;Keunen, O. Quantitative pre-clinical imaging of hypoxia and vascularity using MRI and PET. In Methods in Cell Biology. 191. Elsevier, 2025. p. 289-328. ISBN: 978-0-443-29620-8.
Detail

VITOUŠ, J.; JIŘÍK, R.; STRAČINA, T.; HENDRYCH, M.; NÁDENÍČEK, J.; MACÍČEK, O.; TIAN, Y.; KRÁTKÁ, L.; DRAŽANOVÁ, E.; NOVÁKOVÁ, M.; BABULA, P.; PANOVSKÝ, R.; DIBELLA, E.; STARČUK, Z. T1 mapping of myocardium in rats using self-gated golden-angle acquisition. Magnetic Resonance in Medicine, 2023, vol. 91, no. 1, p. 368-380. ISSN: 0740-3194.
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VITOUŠ, J.; MACÍČEK, O.; JIŘÍK, R. Self-gated Arterial Spin Labeling Perfusion Mapping of Myocardium Using Magnetic Resonance Imaging. In CINC 2024. Computing in Cardiology. Computing in Cardiology, 2024. 4 p.
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JIŘÍK, R.; HÝVLOVÁ, D.; MACÍČEK, O.; VITOUŠ, J.; STARČUK, Z. Deep-Learning in Simultaneous DCE-DSC-MRI Perfusion Analysis. In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE-International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2025. p. 4933-4941. ISBN: 979-8-3503-8622-6.
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MOKRÝ, O.; VITOUŠ, J.; RAJMIC, P.; JIŘÍK, R. Improving DCE-MRI through Unfolded Low-Rank + Sparse Optimisation. In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). Athens, Greece: IEEE, 2024. 5 p. ISBN: 979-8-3503-1333-8.
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Kanli, G.; Perlo, D.; Boudissa, S.;Jirik, R.; Keunen, O. Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI. In Lecture Notes in Computer Science. Lecture Notes in Computer Science. 15241. Springer, Cham, 2024. p. 228-237. ISBN: 9783031732836. ISSN: 1611-3349.
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HÝVLOVÁ, D.; JIŘÍK, R.; VITOUŠ, J.; MACÍČEK, O.; KRÁTKÁ, L.; DRAŽANOVÁ, E.; STARČUK, Z. Focused ultrasound-induced blood-brain barrier opening: A comparative analysis of permeability quantification based on Ktrans and PS. Magnetic Resonance in Medicine, 2025, vol. 93, no. 6, p. 2610-2622. ISSN: 1522-2594.
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MANGOVÁ, M.; MACÍČEK, O.; RAJMIC, P.; HÝVLOVÁ, D.; JIŘÍK, R. Simultaneous DCE-DSC-MRI using low-rank-regularized model-based reconstruction of DCE and DSC components. In Proceedings of the 2024 IEEE International Symposium on Biomedical Imaging (ISBI). Athens, Greece: IEEE, 2024. 5 p. ISBN: 979-8-3503-1333-8.
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HÝVLOVÁ, D.; JIŘÍK, R.; VITOUŠ, J. Deep-learning estimation of second-generation pharmacokinetic-model parameters in DCE-MRI. In 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2025. p. 1-8. ISBN: 979-8-3503-5155-2.
Detail

Responsibility: Rajmic Pavel, prof. Mgr., Ph.D.