Patents by Inventor Taohui XIAO

Taohui XIAO 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).

  • Method and apparatus for magnetic resonance imaging and plaque recognition
    Patent number: 11756191
    Abstract: A method for magnetic resonance imaging and plaque recognition includes: obtaining magnetic resonance undersampled K-space data; transforming the magnetic resonance undersampled K-space data to an image domain through inverse Fourier transform to obtain a preprocessed image; reconstructing the preprocessed image through a pre-established deep learning reconstruction model to obtain a high-resolution imaging image of a blood vessel wall; and recognizing plaques in the high-resolution imaging image of the blood vessel wall through a pre-established deep learning plaque recognition model. A neural network corresponding to the pre-established deep learning reconstruction model is a dense connection network. The magnetic resonance undersampled K-space data is head-and-neck combined magnetic resonance undersampled K-space data of the blood vessel wall.
    Type: Grant
    Filed: December 13, 2018
    Date of Patent: September 12, 2023
    Inventors: Shanshan Wang, Taohui Xiao, Hairong Zheng, Xin Liu, Dong Liang
  • METHOD AND APPARATUS FOR MAGNETIC RESONANCE IMAGING AND PLAQUE RECOGNITION
    Publication number: 20200410675
    Abstract: A method for magnetic resonance imaging and plaque recognition includes: obtaining magnetic resonance undersampled K-space data; transforming the magnetic resonance undersampled K-space data to an image domain through inverse Fourier transform to obtain a preprocessed image; reconstructing the preprocessed image through a pre-established deep learning reconstruction model to obtain a high-resolution imaging image of a blood vessel wall; and recognizing plaques in the high-resolution imaging image of the blood vessel wall through a pre-established deep learning plaque recognition model. A neural network corresponding to the pre-established deep learning reconstruction model is a dense connection network. The magnetic resonance undersampled K-space data is head-and-neck combined magnetic resonance undersampled K-space data of the blood vessel wall.
    Type: Application
    Filed: December 13, 2018
    Publication date: December 31, 2020
    Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
    Inventors: Shanshan WANG, Taohui XIAO, Hairong ZHENG, Xin LIU, Dong LIANG