Siyuan Zhang,Shan Wu,Shaoqiang Shang,Zhiwei Cui,Tianqi Xu,Mingxi Wan
申请号：
US16278371
公开号：
US20200121376A1
申请日:
2019.02.18
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A recognition, monitoring, and imaging method and system are provided for a thermal ablation region based on ultrasonic deep learning. The recognition method includes obtaining original ultrasonic radiofrequency data, an ultrasonic image, and an optical image during thermal ablation； making ultrasonic radiofrequency data points and pixels in the optical image correspond in a one-to-one manner, and determining a spatial position correspondence between the ultrasonic radiofrequency data points and the optical image； determining a thermal ablation region image according to the spatial position correspondence； constructing a deep learning model according to the thermal ablation region image； superposing a thermal ablation classification image to the ultrasonic image, to determine a to-be-recognized thermal ablation image； and recognizing a thermal ablation region in the ultrasonic image according to the to-be-recognized thermal ablation image. The method and system improve recognition accuracy of the thermal ablation region in the ultrasonic image.
