头部和部扩散权重MR成像的质量使用定期旋转的重叠平行线与增强重建 (PROPELLER) 序列和深度学习重建的组合

Taro Fujiwara1, Noriyuki Fujima2, Hiroyuki Hamaguchi1

  • 1Department of Radiological Technology, Hokkaido University Hospital, Sapporo Hokkaido, Japan.

概括

基于深度学习的重建 (DLR) 显著增强了定期旋转的重叠平行线,用于头部和部成像的增强的重建-扩散加权成像 (PROPELLER-DWI). 与传统方法相比,这种先进的技术提供了更优质的图像质量和更少的文物.

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