Department of Radiology, The University of Chicago, Chicago, IL 60637, USA.
Phys Med Biol. 2013 Sep 7;58(17):6011-27. doi: 10.1088/0031-9155/58/17/6011. Epub 2013 Aug 12.
We have validated a small-scale breast tissue model based on power-law noise. A set of 110 patient images served as truth. The statistical model parameters were determined by matching the radially averaged power-spectrum of the projected simulated tissue with that of the central tomosynthesis patient breast projections. Observer performance in a signal-known exactly detection task in simulated and actual breast backgrounds was compared. Observers included human readers, a pre-whitening observer model and a channelized Hotelling observer model. For all observers, good agreement between performance in the simulated and actual backgrounds was found, both in the tomosynthesis central projections and the reconstructed images. This tissue model can be used for breast x-ray imaging system optimization. The complete statistical description of the model is provided.
我们已经验证了一种基于幂律噪声的小规模乳房组织模型。一组 110 张患者图像作为真实数据。通过将模拟组织的径向平均功率谱与中心断层合成患者乳房投影的功率谱进行匹配，确定了统计模型参数。比较了在模拟和实际乳房背景下信号确切检测任务中观察者的性能。观察者包括人类读者、预白化观察者模型和通道化 Hotelling 观察者模型。对于所有观察者，在断层合成中央投影和重建图像中，都发现了模拟和实际背景下性能之间的良好一致性。该组织模型可用于乳房 X 射线成像系统优化。模型的完整统计描述也提供了。
