Recognition, monitoring, and imaging method and system for thermal ablation region based on ultrasonic deep learning

US11058473B2 · kind B2 · utility

Assignee

• XI'AN JIAOTONG UNIVERSITY · CN

Inventors

• Siyuan Zhang · Xi'an, CN
• Shan-Hua Wu · Hengshan, TW
• Shaoqiang Shang · Xi'an, CN
• Zhiwei Cui · Xi'an, CN
• Tianqi Xu · Xi'an, CN
• Mingxi Wan · Tuji, CN

Key dates

• Filing date: Feb 18, 2019
• Grant date: Jul 13, 2021
• Expiry date: Dec 5, 2039

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61N7/02
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

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.