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一种基于CNN的染方法,使用电子密度幻象获得的图像进行训练,用于薄切断的冠状动脉的扫描

Ching-Ching Yang1,2, Kuei-Yuan Hou3

  • 1Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.

Journal of applied clinical medical physics
|February 12, 2024
PubMed
概括

这项研究引入了一个卷积神经网络 (CNN) 方法,使用电子密度幻象来减少冠状动脉 (CAC) 扫描中的量子噪声. 该方法有效地提高了薄切片CAC扫描中的图像清晰度,提高了诊断潜力.

关键词:
基于CNN的拒绝方法.冠状动脉素扫描扫描冠状动脉素扫描部分体积效应的部分体积效应

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