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Updated: Jun 12, 2025

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在空间分辨率和辐射剂量减少方面取得的进展,使用基于深度学习的超分辨率重建来进行腹部计算机断层扫描:一个幻影研究

Yoshinori Funama1, Yasunori Nagayama2, Daisuke Sakabe3

  • 1Department of Medical Image Analysis, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.

Academic radiology
|September 20, 2024
PubMed
概括

基于超分辨率深度学习的重建 (SR-DLR) 通过减少噪音和改善空间分辨率,显著提高了计算机断层扫描 (CT) 图像质量. 这种先进的方法优于混合代重建 (HIR),并且在降噪方面与正常分辨率的基于深度学习的重建 (NR-DLR) 相匹配.

关键词:
计算机断层扫描 (CT) 是一种计算机断层扫描.降低噪音 减少噪音噪声质感 噪声质感空间分辨率的空间分辨率基于超分辨率深度学习的重建.

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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