565-06-011 ISMRM Abstract

Can contrast-enhanced images be synthesized from non-contrast quantitative MRI in knee MRI?

Primary: Musculoskeletal - Osteoarthritis

Secondary: Analysis Methods - Image Synthesis and Translation

565-06-011 · Diagnostic Utility of Advanced Techniques in MSK Applications · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row F

Keywords: MR Fingerprinting/Synthetic MR Osteoarthritis Contrast-enhancement Knee imaging

Accepted

Olli Nykänen^1,2, Marko Nikki³, Victor Casula¹, Riccardo Lattanzi^4,5, Mikko J Nissi ², Miika T Nieminen^1,6,7, Mika T Nevalainen^1,3

¹Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland

²Department of Technical Physics, University of Eastern Finland, Kuopio, Finland

³Oulu University Hospital, Oulu, Finland

⁴The Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, United States of America

⁵The Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Grossman School of Medicine, New York, United States of America

⁶Department of Diagnostics, Oulu University Hospital, Oulu, Finland

⁷Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland

Presenting Author: Mikko J Nissi

Synopsis

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References

1. Ma D, Gulani V, Seiberlich N, et al. Magnetic resonance fingerprinting. Nature. 2013;495(7440):187-192. doi:10.1038/nature11971 [doi]

2. Bipin Mehta B, Coppo S, Frances McGivney D, et al. Magnetic resonance fingerprinting: a technical review. Magn Reson Med. 2019;81(1):25-46. doi:10.1002/mrm.27403 [doi]

3. Wang K, Doneva M, Meineke J, et al. High‐fidelity direct contrast synthesis from magnetic resonance fingerprinting. Magn Reson Med. 2023;90(5):2116-2129. doi:10.1002/mrm.29766 [doi]

4. Nykänen O, Nevalainen M, Casula V, et al. Deep-Learning-Based Contrast Synthesis From MRF Parameter Maps in the Knee Joint. J Magn Reson Imaging. 2023;58(2):559-568. doi:10.1002/jmri.28573 [doi]

5. Mallio CA, Radbruch A, Deike-Hofmann K, et al. Artificial Intelligence to Reduce or Eliminate the Need for Gadolinium-Based Contrast Agents in Brain and Cardiac MRI: A Literature Review. Invest Radiol. 2023;58(10):746-753. doi:10.1097/rli.0000000000000983 [doi]

6. Cloos MA, Assländer J, Abbas B, et al. Rapid Radial T1 and T2 Mapping of the Hip Articular Cartilage With Magnetic Resonance Fingerprinting. J Magn Reson Imaging. 2019;50(3):810-815. doi:10.1002/jmri.26615 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/565-06-011