Feng Yanling, Chen Zhencheng, He Jishan, Qian Shengyou
Department of Biomedical Engineering, School of Info-Physics and Geomatics Engineering, Central South University, Changsha 410083, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010 Oct;27(5):978-83.
Ultrasound based tissue thermal lesion non-invasive detection is of great significance in high intensity focused ultrasound (HIFU) clinical application. In this paper, we propose a sub-pixel method to quantify the ultrasound image change caused by HIFU as correlation-distance. The support vector machine (SVM) was trained by using correlation distance as samples, and the recognition effect was tested. Results showed that sub-pixel cross-correlation vector field could reflect the ablation lesions position. SVM based classification method can recognize HIFU beam lesion degree effectively.
