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使用人工神经网络进行多参数动脉旋转标签的增强参数估计.

Shota Ishida1, Yasuhiro Fujiwara2, Yuki Matta3

  • 1Department of Radiological Technology, Faculty of Medical Sciences, Kyoto College of Medical Science, Nantan, Japan.

Magnetic resonance in medicine
|June 9, 2024
PubMed
概括

深度神经网络 (DNN) 提高了多参数动脉旋转标记 (MP-ASL) 的准确性和速度,用于量化脑血流 (CBF) 和动脉脑血量 (CBV). 监督DNN (DNNSup) 显示出比无监督DNN (DNNUns) 和查找表方法 (LUT) 更好的性能.

关键词:
动脉大脑血流动的动脉血流.动脉旋转标签的标签深度神经网络是一个神经网络.基于物理的无监督学习.监督学习学习监督学习

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