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Purpose
To develop a deep learning–based reconstruction framework for ultrafast and robust diffusion tensor imaging and fiber tractography.
Methods
SuperDTI was developed to learn the nonlinear relationship between DWIs and the corresponding diffusion tensor parameter maps. It bypasses the tensor fitting procedure, which is highly susceptible to noises and motions in DWIs. The network was trained...
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