402-03-004 ISMRM Abstract

Deep Learning-Based Artifact Removal for Enhanced Metabolite Quantification of In Vivo 7T MRSI

Primary: Acquisition & Reconstruction - Spectroscopy and spectroscopic imaging

Secondary: Contrast Mechanisms - Spectroscopy

402-03-004 · Metabolic Imaging and MR Spectroscopy: Methods and Application · Tuesday, 12 May, 1:40 PM–3:30 PM · Hall 1B

Keywords: Deep learning Spectral quality Artifacts correction 1H MRS Spectral quantification

Accepted

Tianyu Wang ¹, Mahrshi Jani¹, Andrew Wright¹, Anke Henning¹

¹Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, United States of America

Presenting Author: Tianyu Wang

Synopsis

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References

1. Bilgic B, Gagoski B, Kok T, Adalsteinsson E. Lipid suppression in CSI with spatial priors and highly undersampled peripheral k-space. Magn Reson Med. 2013;69(6):1501–11. doi:10.1002/mrm.24399 [doi]

2. Ziegs T, Wright AM, Henning A. Test–retest reproducibility of human brain multi-slice 1H FID-MRSI data at 9.4T after optimization of lipid regularization, macromolecular model, and spline baseline stiffness. Magn Reson Med. 2023;89(1):11–28. doi:10.1002/mrm.29423 [doi]

3. Vanhamme L, Fierro RD, Van Huffel S, de Beer R. Fast removal of residual water in proton spectra. J Magn Reson. 1998;132(2):197–203. doi:10.1006/jmre.1998.1425 [doi]

4. Dong Z, Dreher W, Leibfritz D. Experimental method to eliminate frequency modulation sidebands in localized in vivo 1H MR spectra acquired without water suppression. Magn Reson Med. 2004;51(3):602–6. doi:10.1002/mrm.10716 [doi]

5. Henning A, Barmet C, Fuchs A, Vannesjö J, Boesiger P, Pruessmann KP. Characterization and correction of modulation sidebands in 1H MRS without water suppression by spatiotemporal field monitoring. In: Proceedings of the 18th Annual Meeting of the ISMRM; 2010 May 1–7; Stockholm, Sweden.

6. Jani M, Su S, Rodriguez Y, Wright A, Chan K, Sarma MK, et al. OmniShim: a vendor-independent B0 shimming software toolbox. bioRxiv [Preprint]. 2025 Sep 1 [cited 2025 Oct 24]. doi:10.1101/2025.08.26.672438 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/402-03-004