Patents by Inventor Matthew Lun WONG

Matthew Lun WONG 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).

  • Automatic computerized joint segmentation and inflammation quantification in MRI
    Patent number: 11471096
    Abstract: Segmentation of bony regions in MRI images of joints is automated using a two-stage process. In a first stage, a machine-learning image-slice categorizer is used to categorize image slices of the MRI image data as belonging to one of a set of image-slice categories, depending on presence or absence of bone and/or tendon in the image slice. In a second stage, a first instance of a machine-learning segmentation classifier is used to segment image slices that contain both bone and tendon into bone and non-bone regions, and a second instance of a machine-learning segmentation classifier is used to segment image slices that contain bone but not tendon into bone regions and non-bone regions. Results from the two segmentation classifiers can be combined across image slices to provide a final segmentation of the bony structures, including inflammatory regions, in the image data.
    Type: Grant
    Filed: October 25, 2019
    Date of Patent: October 18, 2022
    Assignee: The Chinese University of Hong Kong
    Inventors: James Griffith, Lin Shi, Matthew Lun Wong
  • AUTOMATIC COMPUTERIZED JOINT SEGMENTATION AND INFLAMMATION QUANTIFICATION IN MRI
    Publication number: 20200129114
    Abstract: Segmentation of bony regions in MRI images of joints is automated using a two-stage process. In a first stage, a machine-learning image-slice categorizer is used to categorize image slices of the MRI image data as belonging to one of a set of image-slice categories, depending on presence or absence of bone and/or tendon in the image slice. In a second stage, a first instance of a machine-learning segmentation classifier is used to segment image slices that contain both bone and tendon into bone and non-bone regions, and a second instance of a machine-learning segmentation classifier is used to segment image slices that contain bone but not tendon into bone regions and non-bone regions. Results from the two segmentation classifiers can be combined across image slices to provide a final segmentation of the bony structures, including inflammatory regions, in the image data.
    Type: Application
    Filed: October 25, 2019
    Publication date: April 30, 2020
    Inventors: James GRIFFITH, Lin SHI, Matthew Lun WONG