Rubert Nicholas, Varghese Tomy
University of Wisconsin-Madison, Medical Physics department.
Proc IEEE Int Symp Biomed Imaging. 2013 Apr;2013:724-727. doi: 10.1109/ISBI.2013.6556577.
Acoustic scattering from the microvasculature in the liver is frequently modeled by a quasi-periodic distribution of point scatterers. The received echoes from such an arrangement of scatterers has random but correlated phase at frequency components corresponding to the average spacing of the quasi-periodic scatterers. The extent of the correlation between different frequency components is measured by calculating signal coherence. To date in ultrasound, estimators for coherence have used windowed short-time FFTs of radiofrequency data where the windows selected have been chosen Using receiver operating characteristic analysis (ROC), we show that Slepian sequences provide an estimator which more reliably distinguishes between liver and ablated tissue in an setting than estimators using the Hann, Hamming, or Blackman-Harris window. For a gate length of 7 mm or 21 wavelengths we achieve an area under the ROC curve of 0.93 with Slepian sequences for coherence calculations.
肝脏中微脉管系统的声学散射通常由点散射体的准周期分布来建模。从这种散射体排列接收到的回波在对应于准周期散射体平均间距的频率分量处具有随机但相关的相位。通过计算信号相干性来测量不同频率分量之间的相关程度。在超声领域,迄今为止,相干性估计器使用射频数据的加窗短时傅里叶变换,其中所选窗口是被选择的。使用接收器操作特征分析(ROC),我们表明,在[具体场景未明确]中,与使用汉宁、汉明或布莱克曼 - 哈里斯窗的估计器相比,斯莱皮安序列提供了一种能更可靠地区分肝脏组织和消融组织的估计器。对于7毫米或21个波长的门长,我们使用斯莱皮安序列进行相干性计算时,ROC曲线下面积达到0.93。