Chang Ming, Xiao Yongshun, Chen Zhiqiang
Department of Engineering Physics, Tsinghua University, Beijing 100084, China ; Key Laboratory of Particle & Radiation Imaging, Tsinghua University, Ministry of Education, Beijing 100084, China.
Comput Math Methods Med. 2015;2015:906452. doi: 10.1155/2015/906452. Epub 2015 May 18.
The radiation dose reduction without sacrificing the image quality as an important issue has raised the attention of CT manufacturers and different automatic exposure control (AEC) strategies have been adopted in their products. In this paper, we focus on the strategy of tube current modulation. It is deduced based on the signal-to-noise (SNR) of the sinogram. The main idea behind the proposed modulation strategy is to keep the SNR of the sinogram proximately invariable using the few-view reconstruction as a good reference because it directly affects the noise level of the reconstructions. The numerical experiment results demonstrate that, compared with constant tube current, the noise distribution is more uniform and the SNR and CNR of the reconstruction are better when the proposed strategy is applied. Furthermore it has the potential to distinguish the low-contrast target and to reduce the radiation dose.
在不牺牲图像质量的前提下降低辐射剂量这一重要问题已引起CT制造商的关注,并且他们在产品中采用了不同的自动曝光控制(AEC)策略。在本文中,我们聚焦于管电流调制策略。它是基于正弦图的信噪比推导出来的。所提出的调制策略背后的主要思想是,将少视图重建作为一个很好的参考,因为它直接影响重建的噪声水平,从而使正弦图的信噪比近似保持不变。数值实验结果表明,与恒定管电流相比,应用所提出的策略时,噪声分布更均匀,重建的信噪比和对比度噪声比更好。此外,它有潜力区分低对比度目标并降低辐射剂量。