高次局所自己相関特徴を用いた動的テンプレートマッチングによる超音波ガイド腫瘍追従手法

抄録

In this report we propose a novel robust tumor tracking method for ultrasound guided RFA treatments. RFA (radiofrequency ablation) treatments have a serious problem to hide a tumor to be treated due to the hyperechoic region, which is generated by vapors during RFA. Moreover, organ deformations seriously deteriorate the tracking performance. To cope with these problems, we propose a novel method to track a tumor in ultrasound diagnostic image. Templates, which is used to track the tumor, are generated dynamically by HLAC(Higher order Local Auto Correlation) -based subspace method. Our method achieves stable tracking by selecting templates automatically based on the texture features of ultrasound diagnostic images, while the conventional method is unstable due to the variation to select templates manually. Experimental results show the effectiveness of our proposing motion tracking method concerning the robustness and accuracy.