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Updated: Jul 1, 2025

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层次分解的双域深度学习用于稀疏视图CT重建.

Yoseob Han1,2

  • 1Department of Electronic Engineering, Soongsil University, Republic of Korea.

Physics in medicine and biology
|March 8, 2024
PubMed
概括

本研究介绍了一种双域深度学习框架,用于稀疏视图计算机断层扫描 (CT) 重建. 这种新的方法在理论上证明了深度学习的应用,显著减少了工件,并通过较低的辐射剂量提高了图像质量.

关键词:
深度学习是一种深度学习.层次性的分解分解.投影域是一个投影域.稀疏视野的CTCT可以使用.

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