402-03-003 ISMRM Abstract

Pipeline for Quantifying Uncertainty for SPICE Reconstructed MRSI

Primary: Contrast Mechanisms - Spectroscopy

Secondary: Acquisition & Reconstruction - Spectroscopy and spectroscopic imaging

402-03-003 · Metabolic Imaging and MR Spectroscopy: Methods and Application · Tuesday, 12 May, 1:40 PM–3:30 PM · Hall 1B

Keywords: Image Reconstruction Spectroscopy MRSI Uncertainty quantification Subspace Modelling

Accepted

Tian Lyu ¹, Saad Jbabdi¹, William T Clarke¹, Simon M Finney¹

¹Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom

Presenting Author: Tian Lyu

Synopsis

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References

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3. F. Lam, Y. Li, R. Guo, B. Clifford, and Z. P. Liang, “Ultrafast magnetic resonance spectroscopic imaging using SPICE with learned subspaces,” Magn Reson Med, vol. 83, no. 2, pp. 377–390, Feb. 2020, doi: 10.1002/mrm.27980. [doi]

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8. W. T. Clarke and M. Chiew, “Uncertainty in denoising of MRSI using low‐rank methods,” Magn Reson Med, vol. 87, no. 2, pp. 574–588, Feb. 2022, doi: 10.1002/mrm.29018. [doi]

9. M. Uecker et al., “Berkeley Advanced Reconstruction Toolbox,” in Proc Intl Soc Mag Reson Med 2015, 2015, p. 23:2486. doi: 10.5281/zenodo.12495. [doi]

10. Y. Wang and S. Li, “Differentiation of metabolic concentrations between gray matter and white matter of human brain by in vivo 1 H magnetic resonance spectroscopy,” Magn Reson Med, vol. 39, no. 1, pp. 28–33, Jan. 1998, doi: 10.1002/mrm.1910390107. [doi]

11. W. T. Clarke, C. J. Stagg, and S. Jbabdi, “FSL-MRS: An end-to-end spectroscopy analysis package,” Magn Reson Med, vol. 85, no. 6, pp. 2950–2964, Jun. 2021, doi: 10.1002/mrm.28630. [doi]

12. Gold Standard Phantoms Ltd., “SPECTRE – Spectroscopy Phantom for Evaluation and Calibration of Technique and Reference,” Gold Standard Phantoms, Sheffield, UK. [Online]. Available: https://goldstandardphantoms.com/products/spectre

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http://echo.ismrm.org/p/ISMRM2026/402-03-003