Evaluation of non-Gaussian statistical properties in virtual breast phantoms.
Evaluation of non-Gaussian statistical properties in virtual breast phantoms.
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虚拟乳房模型中非高斯统计特性的评估。
DOI：
10.1117/1.jmi.6.2.025502
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Boone,JohnM
中科院分区：
文献类型：
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作者：
Abbey,CraigK;Bakic,PredragR;Pokrajac,DavidD;Maidment,AndrewDA;Eckstein,MiguelP;Boone,JohnM
从“虚拟体模”导出的图像可用于表征成像系统的性能。这推动了在模拟环境中实现的虚拟乳房体模的发展。在乳房成像中，已经提出了几种这样的体模。我们分析了三个类的虚拟乳房幻影的非高斯统计特性，并将它们与来自乳房图像数据库的类似统计数据进行比较。这些包括集群斑点亮度背景（CBLB），截断二进制纹理，和宾夕法尼亚大学虚拟乳房幻影。我们使用拉普拉斯分数熵（LFE）作为每个模拟过程的非高斯统计特性的度量。我们的研究结果表明，尽管相似的功率谱，仿真方法在LFE中有很大的不同，在某些频率下，CBLB的分数很低，而UPenn体模的分数很高。这些结果表明LFE可能在开发和调整虚拟体模模拟程序方面具有价值。
Images derived from a “virtual phantom” can be useful in characterizing the performance of imaging systems. This has driven the development of virtual breast phantoms implemented in simulation environments. In breast imaging, several such phantoms have been proposed. We analyze the non-Gaussian statistical properties from three classes of virtual breast phantoms and compare them to similar statistics from a database of breast images. These include clustered-blob lumpy backgrounds (CBLBs), truncated binary textures, and the UPenn virtual breast phantoms. We use Laplacian fractional entropy (LFE) as a measure of the non-Gaussian statistical properties of each simulation procedure. Our results show that, despite similar power spectra, the simulation approaches differ considerably in LFE with very low scores for the CBLB to high values for the UPenn phantom at certain frequencies. These results suggest that LFE may have value in developing and tuning virtual phantom simulation procedures.