A diffusion-matched principal component analysis (DM-PCA) based two-channel denoising procedure for high-resolution diffusion-weighted MRI - Fig 4

<p>A simulation study for comparing magnitude-domain DM-PCA and two-channel complex-domain DM-PCA in terms of the accuracy in fitting ADC values from parallel DWI data: (a) Images reconstructed with the 2xSENSE algorithm from noise-free under-sampled k-space data corresponding to b = 0, 200, 400 … 2200 (s/mm²). (b) Images reconstructed with the 2xSENSE algorithm from noisy under-sampled k-space. (c) SENSE-produced data denoised by magnitude-domain DM-PCA. (d) SENSE-produced DWI data denoised by a two-channel complex-domain DM-PCA procedure. (e) Signal intensities of noisy parallel DWI data (solid curve in orange) and the ground truth (dashed curve in blue). (f) Signal intensities of magnitude-domain DM-PCA produced data (solid curve in orange) and the ground truth (dashed curve in blue). (g) Signal intensities of complex-domain DM-PCA produced data (solid curve in orange) and the ground truth (dashed curve in blue). (h) Errors in ADC fitting for data with different SNR levels.