Patents by Inventor Shaoqiang Shang

Shaoqiang Shang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Recognition, monitoring, and imaging method and system for thermal ablation region based on ultrasonic deep learning
    Patent number: 11058473
    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.
    Type: Grant
    Filed: February 18, 2019
    Date of Patent: July 13, 2021
    Assignee: Xi'an Jiaotong University
    Inventors: Siyuan Zhang, Shan Wu, Shaoqiang Shang, Zhiwei Cui, Tianqi Xu, Mingxi Wan
  • RECOGNITION, MONITORING, AND IMAGING METHOD AND SYSTEM FOR THERMAL ABLATION REGION BASED ON ULTRASONIC DEEP LEARNING
    Publication number: 20200121376
    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.
    Type: Application
    Filed: February 18, 2019
    Publication date: April 23, 2020
    Inventors: Siyuan Zhang, Shan Wu, Shaoqiang Shang, Zhiwei Cui, Tianqi Xu, Mingxi Wan