Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
351-03-002 / 351-03-002 ISMRM Abstract

Deep Learning Enhanced Weighted Average CSI for High-Resolution Deuterium Metabolic Imaging

Primary: Contrast Mechanisms - Deuterium
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
351-03-002 · AI Methods · Monday, 11 May, 4:10 PM–5:46 PM · Power Pitch Theatre 1
351-03-002 · AI Methods · Monday, 11 May, 4:10 PM–5:46 PM · Power Pitch Theatre 1
Keywords: Acquisition Methods Image Reconstruction MRSI Deep learning reconstruction Deuterium Metabolic Imaging
Accepted
Hongkang Chu1,2,3, Gang Chen1,2,3, Xinjie Liu 1,3, Hong Shi1,2,3, Chaoyang Liu1,3, Maili Liu1,2,3, Xin Zhou1,2,3, Elton T Montrazi4, Lucio Frydman4, 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
4Weismann Institute, Israel
Presenting Author: Xinjie Liu

Synopsis

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References

1. De Feyter, Henk M., et al. "Deuterium metabolic imaging (DMI) for MRI-based 3D mapping of metabolism in vivo." Science advances 4.8 (2018): eaat7314.
2. De Feyter, Henk M., and Robin A. de Graaf. "Deuterium metabolic imaging–Back to the future." Journal of Magnetic Resonance 326 (2021): 106932.
3. Montrazi, Elton T., et al. "High-sensitivity deuterium metabolic MRI differentiates acute pancreatitis from pancreatic cancers in murine models." Scientific Reports 13.1 (2023): 19998.
4. Li, Yudu, et al. "Machine learning-enabled high-resolution dynamic deuterium MR spectroscopic imaging." IEEE transactions on medical imaging 40.12 (2021): 3879-3890.
5. Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. "U-net: Convolutional networks for biomedical image segmentation." International Conference on Medical image computing and computer-assisted intervention. Cham: Springer international publishing, 2015.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/351-03-002