Imani Farhad, Wu Mark Z, Lasso Andras, Burdette Everett C, Daoud Mohammad, Fitchinger Gabor, Abolmaesumi Purang, Mousavi Parvin
Queen's University, Canada.
Med Image Comput Comput Assist Interv. 2011;14(Pt 1):379-86. doi: 10.1007/978-3-642-23623-5_48.
This paper is the first report on the monitoring of tissue ablation using ultrasound RF echo time series.
We calcuate frequency and time domain features of time series of RF echoes from stationary tissue and transducer, and correlate them with ablated and non-ablated tissue properties.
We combine these features in a nonlinear classification framework and demonstrate up to 99% classification accuracy in distinguishing ablated and non-ablated regions of tissue, in areas as small as 12mm2 in size. We also demonstrate significant improvement of ablated tissue classification using RF time series compared to the conventional approach of using single RF scan lines.
The results of this study suggest RF echo time series as a promising approach for monitoring ablation, and capturing the changes in the tissue microstructure as a result of heat-induced necrosis.
本文是关于使用超声射频回波时间序列监测组织消融的首份报告。
我们计算来自固定组织和换能器的射频回波时间序列的频域和时域特征，并将它们与消融和未消融的组织特性相关联。
我们将这些特征整合到一个非线性分类框架中，并证明在区分大小仅为12平方毫米区域的消融和未消融组织区域时，分类准确率高达99%。我们还证明，与使用单条射频扫描线的传统方法相比，使用射频时间序列对消融组织进行分类有显著改进。
本研究结果表明，射频回波时间序列是监测消融以及捕捉热诱导坏死导致的组织微观结构变化的一种有前景的方法。
