High-angular resolution diffusion imaging generation using 3d u-net
Yuichi Suzuki,
Tsuyoshi Ueyama,
Kentarou Sakata
et al.
Abstract:Purpose
To investigate the effects on tractography of artificial intelligence-based prediction of motion-probing gradients (MPGs) in diffusion-weighted imaging (DWI).
Methods
The 251 participants in this study were patients with brain tumors or epileptic seizures who underwent MRI to depict tractography. DWI was performed with 64 MPG directions and b = 0 s/mm2 images. The dataset was divided into a training set of 191 (mean age 45.7 [± 19.1] years), a vali… Show more
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