Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
467-01-013 ISMRM Abstract

Fast and Accurate Parametric Map Computation for Radial MRF of Articular Cartilage Using Deep Learning

Primary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI
Secondary: Musculoskeletal - Cartilage
467-01-013 · Quantitative Imaging Beyond the CNS · Tuesday, 12 May, 8:20 AM–9:15 AM · Digital Posters Row H
Keywords: Musculoskeletal MRI Deep learning Multiparametric mapping Radial-MRF
Accepted
Vahid Ghodrati 1, Victor Casula1, Marin Margueritat--Chauve1,2, Timo Liimatainen1,3, Miika T Nieminen1,3
1Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
2EPF Engineering School, Cachan, France
3Department of Diagnostics, Oulu University Hospital, Oulu, Finland
Presenting Author: Vahid Ghodrati

Synopsis

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References

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2. Cloos MA, Assländer J, Abbas B, Fishbaugh J, Babb JS, Gerig G, Lattanzi R. Rapid Radial T1 and T2 Mapping of the Hip Articular Cartilage With Magnetic Resonance Fingerprinting. J Magn Reson Imaging. 2019 Sep;50(3):810-815. doi: 10.1002/jmri.26615. [doi]
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7. Fang Z, Chen Y, Liu M, Xiang L, Zhang Q, Wang Q, Lin W, Shen D. Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting. IEEE Trans Med Imaging. 2019 Oct;38(10):2364-2374. doi: 10.1109/TMI.2019.2899328. [doi]
8. Hoppe E, Körzdörfer G, Würfl T, Wetzl J, Lugauer F, Pfeuffer J, Maier A. Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series. Stud Health Technol Inform. 2017;243:202-206.
9. Chen, Yong, Zhenghan Fang, Sheng-Che Hung, Wei-Tang Chang, Dinggang Shen, and Weili Lin. "High-resolution 3D MR fingerprinting using parallel imaging and deep learning." Neuroimage 206 (2020): 116329.
10. Ding, Tianyi, Yang Gao, Zhuang Xiong, Feng Liu, Martijn A. Cloos, and Hongfu Sun. "MRF-Mixer: A Simulation-Based Deep Learning Framework for Accelerated and Accurate Magnetic Resonance Fingerprinting Reconstruction." Information 16, no. 3 (2025): 218.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/467-01-013