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Diffusion tensor magnetic resonance imaging (MRDTI) is noise sensitive, and the noise can seriously affect the subsequent characteristic parameter calculations. This paper proposes an adaptive denoising method based on a sparse representation for cardiac diffusion weighted images in MR-DTI. The method first generates a dictionary from the cardiac diffusion weighted images and then a dictionary training...
Diffusion tensor magnetic resonance imaging (DTI) can resolve white matter fiber orientations within voxels in which the diffusion is characterized by Gaussian diffusion process. High angular resolution diffusion imaging (HARDI) adds the capability of describing the apparent diffusion coefficient (ADC) profile of voxels that contain kissing, branching and crossing fiber configurations. We present...
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