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A Compton scattering suppression based image reconstruction method for Digital Breast Tomosynthesis

机译:基于康普顿散射抑制的数字化胸部断层合成图像重建方法

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摘要

In this paper, we present a novel statistical reconstruction method based on Compton noise suppression for Digital Breast Tomosynthesis. The physical modeling for X-ray's interaction with tissues was investigated. A Compton noise based statistical model with a conjugate prior was introduced. Results from our proposed method, Backprojection (BP) method, Simultaneous Algebraic Reconstruction Technique (SART) and Maximum Likelihood with Convex Algorithm (MLCA) were compared based on image quality analysis. Compared with other algorithms, our proposed method shows comparable performance. It also produces even better results in the Contrast to Noise Ratio (CNR) evaluation.
机译:在本文中,我们提出了一种基于康普顿噪声抑制的数字乳房断层合成新统计重建方法。研究了X射线与组织相互作用的物理模型。介绍了基于共轭先验的基于康普顿噪声的统计模型。在图像质量分析的基础上,比较了我们提出的方法,反投影(BP)方法,同时代数重构技术(SART)和最大似然与凸算法(MLCA)的结果。与其他算法相比,我们提出的方法显示出可比的性能。在对比噪声比(CNR)评估中,它还会产生更好的结果。

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