卷积神经网络
医学
探测器
光子计数
时间分辨率
分辨率(逻辑)
降噪
光子
人工智能
核医学
模式识别(心理学)
放射科
生物医学工程
光学
物理
计算机科学
作者
Shaojie Chang,John C. Benson,John I. Lane,Michael R. Bruesewitz,Joseph R. Swicklik,Jamison E. Thorne,Emily K. Koons,Matthew L. Carlson,Cynthia H. McCollough,Shuai Leng
摘要
Ultra-high-resolution (UHR) photon-counting-detector (PCD) CT improves image resolution but increases noise, necessitating use of smoother reconstruction kernels that reduce resolution below the system's 0.110 mm maximum spatial resolution. To address this, a denoising convolutional neural network (CNN) was developed to reduce noise in images reconstructed with the available sharpest reconstruction kernel while preserving resolution for enhanced temporal bone visualization.
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