Validation of a power-law noise model for simulating small-scale breast tissue.

Validation of a power-law noise model for simulating small-scale breast tissue.
复制标题

DOI:
10.1088/0031-9155/58/17/6011
复制
发表时间:
2013-09-07
影响因子:
3.5
通讯作者:
Nishikawa RM
Nishikawa RM
中科院分区:
工程技术2区
文献类型:
--
作者:
Reiser I;Edwards A;Nishikawa RM

文献摘要

参考文献

被引文献

相似文献

我们已经验证了一个小规模的乳腺组织模型的基础上幂律噪声。一组110个病人的图像作为真相。通过将投影的模拟组织的径向平均功率谱与中央断层合成患者乳房投影的径向平均功率谱相匹配来确定统计模型参数。观察员的性能在一个信号已知的准确检测任务,在模拟和实际的乳房背景进行了比较。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。对于所有的观察者,良好的协议之间的性能在模拟和实际的背景被发现,无论是在断层合成中心投影和重建图像。该组织模型可用于乳腺X射线成像系统的优化。提供了模型的完整统计描述。
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.
DOI: 10.1118/1.4795758
发表时间: 2013-04-01
期刊: MEDICAL PHYSICS
影响因子: 3.8
作者:
O'Connor, J. Michael;Das, Mini;Glick, Stephen J.
通讯作者: Glick, Stephen J.
DOI: 10.1118/1.3116774
发表时间: 2009-05-01
期刊: MEDICAL PHYSICS
影响因子: 3.8
作者:
Engstrom, Emma;Reiser, Ingrid;Nishikawa, Robert
通讯作者: Nishikawa, Robert
DOI: 10.1118/1.1501144
发表时间: 2002-09-01
期刊: MEDICAL PHYSICS
影响因子: 3.8
作者:
Bakic, PR;Albert, M;Maidment, ADA
通讯作者: Maidment, ADA
DOI: 10.1118/1.1355308
发表时间: 2001-04-01
期刊: MEDICAL PHYSICS
影响因子: 3.8
作者:
Burgess, AE;Jacobson, FL;Judy, PF
通讯作者: Judy, PF
DOI: 10.1148/radiol.11111789
发表时间: 2012-04-01
期刊: RADIOLOGY
影响因子: 19.7
作者:
Feng, Steve Si Jia;Sechopoulos, Ioannis
通讯作者: Sechopoulos, Ioannis