Patents by Inventor GUANGXU HAN

GUANGXU HAN 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: 11988734
    Abstract: The invention discloses a method for measuring the intracellular water transmembrane efflux rate (kio): setting magnetic resonance imaging parameters and measuring the noise level during scanning. Optimizing the flip angle and resetting it through Monte Carlo simulation. Scanning quantitative T1 imaging. Scanning dynamic-contrast-enhanced magnetic resonance imaging and injecting contrast agent. The full shutter speed model (SSMfull) is used to analyze every voxel in the tumor area and obtain the kio of them. This method significantly improves the accuracy of kio. The invention discloses the measuring method, system and application of kio as a magnetic resonance imaging biomarker of glioma, which is not for disease diagnosis, to evaluate the expression level of AQP4. The invention discloses the application of kio as a magnetic resonance imaging marker of glioma in the preparation of a product for predicting the sensitivity of glioma radiotherapy and chemotherapy.
    Type: Grant
    Filed: June 16, 2022
    Date of Patent: May 21, 2024
    Assignee: ZHEJIANG UNIVERSITY
    Inventors: Ruiliang Bai, Yinhang Jia, Yingchao Liu, Guangxu Han
  • Patent number: 11828826
    Abstract: The present invention discloses an analysis method for dynamic contrast-enhanced magnetic resonance image. Firstly, the time-series signal of vascular contrast agent concentration, AIF, of biological individual is obtained from DCE-MRI time-series data. Secondly, perform the nonlinear least sum of square fitting by using the full Shutter-Speed model (SSMfull) and the simplified vascular Shutter-Speed model (SSMvas) on the DCE-MRI time-series signal of each pixel, and the fitting results of DCE-MRI time-series signal are obtained. Thirdly, the corrected Akaike Information Criterion (AICC) score is used to comparing the DCE-MRI time-series signal fitting results to select the optimal model. If the optimal model is SSMfull, distribution maps of five physiological parameters. Ktrans, pb po, kbo, and kio, are produced after fitting; if the optimal model is SSMvas, distribution maps of three physiological parameters, Ktrans, pb, and kbo, are produced after fitting.
    Type: Grant
    Filed: July 8, 2020
    Date of Patent: November 28, 2023
    Assignee: ZHEJIANG UNIVERSITY
    Inventors: Ruiliang Bai, Zejun Wang, Guangxu Han
  • Publication number: 20230349997
    Abstract: The invention discloses a method for measuring the intracellular water transmembrane efflux rate (kio): setting magnetic resonance imaging parameters and measuring the noise level during scanning. Optimizing the flip angle and resetting it through Monte Carlo simulation. Scanning quantitative T1 imaging. Scanning dynamic-contrast-enhanced magnetic resonance imaging and injecting contrast agent. The full shutter speed model (SSMfull) is used to analyze every voxel in the tumor area and obtain the kio of them. This method significantly improves the accuracy of kio. The invention discloses the measuring method, system and application of kio as a magnetic resonance imaging biomarker of glioma, which is not for disease diagnosis, to evaluate the expression level of AQP4. The invention discloses the application of kio as a magnetic resonance imaging marker of glioma in the preparation of a product for predicting the sensitivity of glioma radiotherapy and chemotherapy.
    Type: Application
    Filed: June 16, 2022
    Publication date: November 2, 2023
    Inventors: RUILIANG BAI, YINHANG JIA, YINGCHAO LIU, GUANGXU HAN
  • Publication number: 20220018924
    Abstract: The present invention discloses an analysis method for dynamic contrast-enhanced magnetic resonance image. Firstly, the time-series signal of vascular contrast agent concentration, AIF, of biological individual is obtained from DCE-MRI time-series data. Secondly, perform the nonlinear least sum of square fitting by using the full Shutter-Speed model (SSMfull) and the simplified vascular Shutter-Speed model (SSMvas) on the DCE-MRI time-series signal of each pixel, and the fitting results of DCE-MRI time-series signal are obtained. Thirdly, the corrected Akaike Information Criterion (AICC) score is used to comparing the DCE-MRI time-series signal fitting results to select the optimal model. If the optimal model is SSMfull, distribution maps of five physiological parameters. Ktrans, pb po, kbo, and kio, are produced after fitting; if the optimal model is SSMvas, distribution maps of three physiological parameters, Ktrans, pb, and kbo, are produced after fitting.
    Type: Application
    Filed: July 8, 2020
    Publication date: January 20, 2022
    Inventors: RUILIANG BAI, ZEJUN WANG, GUANGXU HAN