Towards Visual-Search Model Observers for Mass Detection in Breast Tomosynthesis.
Towards Visual-Search Model Observers for Mass Detection in Breast Tomosynthesis.
复制标题
面向乳房断层合成中质量检测的视觉搜索模型观察者。
DOI：
10.1117/12.2008503
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Gifford,HowardC
中科院分区：
文献类型：
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作者：
Lau,BeverlyA;Das,Mini;Gifford,HowardC
我们正在研究人类观察者模型，执行临床现实的检测和定位任务，作为一种手段，使数字乳腺断层合成图像的可靠评估。信道化非预白化（CNPW）观测器利用背景精确已知任务进行定位和检测。视觉搜索观察者模型试图复制训练有素的放射科医生的搜索模式。本文所描述的视觉搜索观察员采用两阶段的方法，与初始的整体搜索，然后直接分析和决策。采用梯度模板匹配进行全局搜索，CNPW观测器进行分析决策。球形质量嵌入到拟人乳房模型，并使用射线追踪和串联级联模型进行模拟投影。使用视觉搜索模型观察者和CNPW观察者对这些图像进行定位ROC研究。观察员的表现，从两个计算机观察员进行了比较，人类观察员的表现。视觉搜索观察者能够产生类似于人类观察者的LROC曲线值下的面积;然而，需要更多的研究来增加算法的鲁棒性。
We are investigating human-observer models that perform clinically realistic detection and localization tasks as a means of making reliable assessments of digital breast tomosynthesis images. The channelized non-prewhitening (CNPW) observer uses the background known exactly task for localization and detection. Visual-search observer models attempt to replicate the search patterns of trained radiologists. The visual-search observer described in this paper utilizes a two-phase approach, with an initial holistic search followed by directed analysis and decision making. Gradient template matching is used for the holistic search, and the CNPW observer is used for analysis and decision making. Spherical masses were embedded into anthropomorphic breast phantoms, and simulated projections were made using ray-tracing and a serial cascade model. A localization ROC study was performed on these images using the visual-search model observer and the CNPW observer. Observer performance from the two computer observers was compared to human observer performance. The visual-search observer was able to produce area under the LROC curve values similar to those from human observers; however, more research is needed to increase the robustness of the algorithm.