Original paper
DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and b-values.
Abstract
In MRI, deep neural networks have been proposed to reconstruct diffusion model parameters. However, the inputs of the networks were designed for a specific diffusion gradient scheme (i.e., diffusion gradient directions and numbers) and a specific b-value that are the same as the training data. In this study, a new deep neural network, referred to as DIFFnet, is developed to function as a generalized reconstruction tool of the diffusion-weighted...
Paper Details
Title
DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and b-values.
Published Date
Sep 29, 2021
Pages
1 - 1
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