Patents by Inventor Jiaofen NAN

Jiaofen NAN 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).

  • Patent number: 12175689
    Abstract: A two-stage medical image registration method based on progressive images (PIs) to solve the technical problem of low registration accuracy of traditional image registration methods includes: merging a reference image with a floating image to generate multiple intermediate PIs; registering, by a speeded-up robust features (SURF) algorithm and an affine transformation, the floating image with the intermediate PIs to acquire coarse registration results; registering, by the SURF algorithm and the affine transformation, the reference image with the coarse registration results to acquire fine registration results; and comparing the fine registration results of the intermediate PIs, which are acquired by iteration, and selecting an optimal registration result as a final registration image. The method can achieve multimodal registration for brain imaging with MI, NCC, MSD, and NMI superior to those of the existing registration algorithms.
    Type: Grant
    Filed: June 28, 2022
    Date of Patent: December 24, 2024
    Assignee: Zhengzhou University of Light Industry
    Inventors: Erlin Tian, Qian Zheng, Jiaofen Nan, Xiao Zhang, Weide Liang
  • Publication number: 20220414903
    Abstract: A two-stage medical image registration method based on progressive images (PIs) to solve the technical problem of low registration accuracy of traditional image registration methods includes: merging a reference image with a floating image to generate multiple intermediate PIs; registering, by a speeded-up robust features (SURF) algorithm and an affine transformation, the floating image with the intermediate PIs to acquire coarse registration results; registering, by the SURF algorithm and the affine transformation, the reference image with the coarse registration results to acquire fine registration results; and comparing the fine registration results of the intermediate PIs, which are acquired by iteration, and selecting an optimal registration result as a final registration image. The method can achieve multimodal registration for brain imaging with MI, NCC, MSD, and NMI superior to those of the existing registration algorithms.
    Type: Application
    Filed: June 28, 2022
    Publication date: December 29, 2022
    Applicant: Zhengzhou University of Light Industry
    Inventors: Erlin TIAN, Qian ZHENG, Jiaofen NAN, Xiao ZHANG, Weide LIANG