Motivation: Sodium MRI, a valuable imaging modality for various clinical applications, faces challenges related to signal-to-noise ratio (SNR). This study aims to enhance sodium MRI image quality through innovative denoising techniques. Goal(s): Evaluate and compare novel denoising methods to improve sodium MRI quality and diagnostic potential. Approach: The study assesses denoising techniques in sodium MRI data, utilizing a 3T clinical scanner and a unique denoising algorithm MPPCA with reduced input requirements. Evaluation metrics include residual distributions, SNR and mean-square-error comparisons. Results: MPPCA consistently outperforms other methods, showing its effectiveness in reducing noise and maintaining data fidelity. Impact: The study demonstrates the potential of MPPCA as a powerful tool for enhancing sodium imaging, with broader implications for healthcare diagnostics and research.
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