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Suppressing Multi-Channel Ultra-Low-Field MRI Measurement Noise Using Data Consistency and Image Sparsity

Figure 2

The simulated noiseless sum-of-squares (SoS) image from all 47 channels of the ULF-MRI system (left).

At different SNRs compared to the direct SoS reconstruction, SNR can be improved by incorporating the data consistency constraint (λ = 0). Using the sparsity prior (λ = 0.03, 0.1, and 0.5), the residual error can be further reduced with low SNR acquisitions. The residual errors are reported at the lower-right corner of each reconstruction.

Figure 2

doi: https://doi.org/10.1371/journal.pone.0061652.g002