Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
564-05-005 ISMRM Abstract

RGB4FLAIR: Eliminating Partial Volume Artifacts in Synthetic FLAIR Using Deep Learning Trained on Natural Images

Primary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI
Secondary: Acquisition & Reconstruction - Artifacts and Correction Strategies
564-05-005 · The qMRI Variety Show: A Little Bit of Everything · Wednesday, 13 May, 4:00 PM–4:55 PM · Digital Posters Row E
Keywords: Deep learning MRI physics - synthetic data generation Partial Volume Effects (PVE) Quantitative MRI (qMRI) Synthetic FLAIR
Accepted
Alireza Samadifardheris 1, Dirk H. J. Poot1,2, Shishuai Wang1, Stefan Klein1, Juan A Hernandez-Tamames1,2,3,4, Florian Wiesinger5,6
1Erasmus MC, Rotterdam, Netherlands
2Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
3Erasmus Medical Center, Rotterdam, Netherlands
4Imaging Physics, TU Delft, Delft, Netherlands
5GE Healthcare, Munich, Germany
6Centre for Neuroimaging Sciences, King's College London, London, United Kingdom
Presenting Author: Alireza Samadifardheris

Synopsis

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References

1. Wang S, Samadifardheris A, Hernandez-Tamames JA, Pirkl C, Vogel M, Nuñez-Gonzalez L, Poot DH, Wiesinger F. RGB2qMRI: Can Deep Learning Models for Quantitative MRI be Trained with RGB Pictures? In: Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM). 2025.
2. Cocosco CA, Kollokian V, Kwan RKS, Evans AC. BrainWeb: Online interface to a 3D MRI simulated brain database. NeuroImage. 1997.
3. Oche A, Malandain G, Ayache N. Unifying maximum likelihood approaches in medical image registration. Int J Imaging Syst Technol. 2000;11(1):71–80.
4. He K, Zhang X, Ren S, Sun J. Deep Residual Learning for Image Recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016. p. 770–778.
5. Wiesinger F, Ljungberg E, Engström M, Kaushik S, Wood T, Williams S, et al. PSST… Parameter mapping Swift and SilenT. In: Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM). 2020.
6. Wiesinger F, McKinnon G, Kaushik S, Solana AB, Ljungberg E, Vogel M, et al. 3D Silent parameter mapping: Further refinements & quantitative assessment. In: Proceedings of the Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM). 2021.
7. Wang Z, Bovik AC, Sheikh HR, Simoncelli EP. Image quality assessment: From error visibility to structural similarity. IEEE Trans Image Process. 2004;13(4):600–612.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/564-05-005