Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
606-02-003 ISMRM Abstract

High-Resolution Deuterium Metabolic Imaging via Self-Supervised Denoising with Low-Rank Priors From Repeated Acquisitions

Primary: Contrast Mechanisms - Deuterium
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
606-02-003 · Beyond Protons: Advances in Multinuclear and Hyperpolarized MRI · Thursday, 14 May, 1:40 PM–3:30 PM · Auditorium 2
Keywords: AI/ML Image Reconstruction X-nuclei Deuterium MRSI Deep learning-based reconstruction 2H Labeled Metabolites
Accepted
Gang Chen 1,2,3, Xinjie Liu1,3, Hongkang Chu1,2,3, Shasha Wang1,3, Peng Sun4, Lucio Frydman5, Michal Neeman5, Xin Zhou1,2,3, Maili Liu1,2,3, Chaoyang Liu1,2,3, Qingjia Bao1,2,3
1Innovation Academy for Precision Measurement Science and Technology,CAS, Wuhan, China
2University of Chinese Academy of Sciences, Beijing, China
3State Key Laboratory of Magnetic Resonance Spectroscopy and Imaging, China
4Clinical and Technical Support, Philips Healthcare (Beijing), Beijing, China
5Weizmann Institute of Science, Rehovot, Israel
Presenting Author: Gang Chen

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References

1. De Feyter H M, Behar K L, Corbin Z A, et al. Deuterium metabolic imaging (DMI) for MRI-based 3D mapping of metabolism in vivo[J]. Science advances, 2018, 4(8): eaat7314.
2. Lu M, Zhu X H, Zhang Y, et al. Quantitative assessment of brain glucose metabolic rates using in vivo deuterium magnetic resonance spectroscopy[J]. Journal of Cerebral Blood Flow & Metabolism, 2017, 37(11): 3518-3530.
3. Zhu X H, Lu M, Chen W. Quantitative imaging of brain energy metabolisms and neuroenergetics using in vivo X-nuclear 2H, 17O and 31P MRS at ultra-high field[J]. Journal of Magnetic Resonance, 2018, 292: 155-170.
4. Li Y, Zhao Y, Guo R, et al. Machine learning-enabled high-resolution dynamic deuterium MR spectroscopic imaging[J]. IEEE transactions on medical imaging, 2021, 40(12): 3879-3890.
5. Dong S, De Feyter H M, Thomas M A, et al. Preserved Edge Convolutional Neural Network for Sensitivity Enhancement of Deuterium Metabolic Imaging (DMI)[J]. ArXiv, 2023.
6. Lehtinen J. Noise2Noise: Learning Image Restoration without Clean Data[J]. arXiv preprint arXiv:1803.04189, 2018.
7. Maggioni M, Katkovnik V, Egiazarian K, et al. Nonlocal transform-domain filter for volumetric data denoising and reconstruction[J]. IEEE transactions on image processing, 2012, 22(1): 119-133.
8. Olesen J L, Ianus A, Østergaard L, et al. Tensor denoising of multidimensional MRI data[J]. Magnetic resonance in medicine, 2023, 89(3): 1160-1172.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/606-02-003