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Denoising human cardiac diffusion tensor magnetic resonance images using sparse representation combined with segmentation
2009
Physics in Medicine and Biology
Cardiac diffusion tensor magnetic resonance imaging (DT-MRI) is noise sensitive, and the noise can induce numerous systematic errors in subsequent parameter calculations. This paper proposes a sparse representation-based method for denoising cardiac DT-MRI images. The method first generates a dictionary of multiple bases according to the features of the observed image. A segmentation algorithm based on nonstationary degree detector is then introduced to make the selection of atoms in the
doi:10.1088/0031-9155/54/6/004
pmid:19218737
fatcat:anry4od7bfg4nomdkxwqazt3hm