Quantitative susceptibility mapping (QSM) is useful for several clinical applications such as distinguishing between acute and chronic multiple sclerosis (MS) lesions, probing microbleeds in traumatic brain injury patients, identifying iron level changes in the substantia nigra of Parkinson's disease patients, and differentiating between calcification and hemorrhage. Increasing image resolution can promote more accurate diagnosis, reduce partial volume effects, and enhance our understanding of brain pathology. On the other hand, acquiring high resolution data without greatly increasing scan times generally leads to a reduction in the SNR which can lower the diagnostic image quality. In this work, we applied Marchenko Pastur PCA (MP-PCA) denoising for T2*-weighted and QSM data.