An adaptive filter to approximate the Bayesian strategy for sonographic beamforming.
An adaptive filter to approximate the Bayesian strategy for sonographic beamforming.
复制标题
一种自适应滤波器，用于近似超声波束形成的贝叶斯策略。
DOI：
10.1109/tmi.2010.2059035
复制
发表时间：
2011
影响因子：
10.6
通讯作者：
Insana,MichaelF
中科院分区：
文献类型：
--
作者：
Nguyen,NghiaQ;Abbey,CraigK;Insana,MichaelF
一个第一性原理的任务为基础的方法，以设计医学超声成像系统的乳房病变鉴别描述。本研究探索了一种新的近似的理想贝叶斯观察者策略，允许对象异质性。新的方法，称为迭代维纳滤波，是通过回波数据模拟和模拟研究实现的。我们研究了与视觉辨别密切相关的五种病变特征，用于临床诊断。对相同图像数据的一系列人类观察者测量使我们能够通过测量视觉识别效率来定量地比较不同的波束形成策略。使用Smith-Wagner模型观测器，我们能够分解效率估计并确定发生性能损失的处理阶段。使用商用扫描仪和囊肿模体实现了这些方法，以探索具有移位脉冲响应函数的系统的空间滤波器的开发。总的来说，我们发现使用延迟和波束形成器比标准b模式图像实现了显着的改进，但代价是更高的复杂性和计算负载。
A first-principles task-based approach to the design of medical ultrasonic imaging systems for breast lesion discrimination is described. This study explores a new approximation to the ideal Bayesian observer strategy that allows for object heterogeneity. The new method, called iterative Wiener filtering, is implemented using echo data simulations and a phantom study. We studied five lesion features closely associated with visual discrimination for clinical diagnosis. A series of human observer measurements for the same image data allowed us to quantitatively compare alternative beamforming strategies through measurements of visual discrimination efficiency. Employing the Smith-Wagner model observer, we were able to breakdown efficiency estimates and identify the processing stage at which performance losses occur. The methods were implemented using a commercial scanner and a cyst phantom to explore development of spatial filters for systems with shift-variant impulse response functions. Overall we found that significant improvements were realized over standard B-mode images using a delay-and-sum beamformer but at the cost of higher complexity and computational load.