Keywords: Data Processing, Low-Field MRI
Motivation: Applying the component imaging method to low-field MRI systems will face a main problem: low-SNR image data.
Goal(s): An optimized inversion method is proposed, aiming to give better results for image data with low SNR.
Approach: This paper proposes an optimized inversion method with the formula of the optimization problem combining intra- and inter-voxel constraints.
Results: The optimized method shows a better convergence rate avoiding the fragmentation of component images and the appearance of pseudo peaks in the spectrum.
Impact: This multi-component imaging approach can provide sub-voxel characterization and be applied to numerous applications of popular portable low-field MRI systems.
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