对比噪声比
层析合成
康普顿散射
迭代重建
计算机科学
数字乳腺摄影术
噪音(视频)
人工智能
乳腺摄影术
技术
图像质量
计算机视觉
信噪比(成像)
算法
模式识别(心理学)
图像(数学)
光学
物理
散射
医学
电信
癌症
乳腺癌
内科学
标识
DOI:10.1109/gensips.2011.6169477
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.
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