Structure-adaptive sparse denoising for diffusion-tensor MRI

► We propose a structure-adaptive sparse denoising method for diffusion tensor MRI. ► A similarity measure is defined to find similar patches to arrange into 3D arrays. ► A structure-adaptive window pursuit method is designed to achieve array sparsity. ► The proposed SASD performs well for images with sufficient structural redundancy. ► SASD facilitates subsequent tensor field and biological relevant metrics analysis.