核医学
计算机断层摄影术
高斯分布
泊松分布
投影(关系代数)
噪音(视频)
物理
算法
计算机科学
数学
放射科
医学
人工智能
统计
量子力学
图像(数学)
作者
Dong Zeng,Jing Huang,Zhaoying Bian,Shanzhou Niu,Hua Zhang,Qianjin Feng,Zhengrong Liang,Jianhua Ma
标识
DOI:10.1109/tns.2015.2467219
摘要
Low-dose X-ray computed tomography (CT) simulation from high-dose scan is required in optimizing radiation dose to patients. In this study, we propose a simple low-dose CT simulation strategy in sinogram domain using the raw data from high-dose scan. Specially, a relationship between the incident fluxes of low- and high- dose scans is first determined according to the repeated projection measurements and analysis. Second, the incident flux level of the simulated low-dose scan is generated by properly scaling the incident flux level of high-dose scan via the determined relationship in the first step. Third, the low-dose CT transmission data by energy integrating detection is simulated by adding a statistically independent Poisson noise distribution plus a statistically independent Gaussian noise distribution. Finally, a filtered back-projection (FBP) algorithm is implemented to reconstruct the resultant low-dose CT images. The present low-dose simulation strategy is verified on the simulations and real scans by comparing it with the existing low-dose CT simulation tool. Experimental results demonstrated that the present low-dose CT simulation strategy can generate accurate low-dose CT sinogram data from high-dose scan in terms of qualitative and quantitative measurements.
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