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基于深度学习的CT图像重建用于治疗计划的验证

Keisuke Yasui1, Yasunori Saito2, Azumi Ito3

  • 1Division of Medical Physics, School of Medical Sciences, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-Cho, Toyoake, Aichi, 470-1192, Japan. k-yasui@fujita-hu.ac.jp.

Scientific reports
|September 18, 2023
PubMed
概括

基于深度学习的CT图像重建 (DLR) 在放射治疗中提供了更好的图像质量. DLR表现出稳定的CT值和降低噪音,特别是在较低剂量时,这使得它对治疗规划有价值.

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