Patents by Inventor Tiange Liu

Tiange Liu 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).

  • DEEP LEARNING NETWORK FOR THE ANALYSIS OF BODY TISSUE COMPOSITION ON BODY-TORSO-WIDE CT IMAGES
    Publication number: 20230129957
    Abstract: Methods and systems are described for determining body composition information. An example method can comprise receiving imaging data associated with a patient, causing the imaging data to be input into a convolutional neural network stored on one or more computing devices, determining, based on output data resulting from inputting the imaging data into the convolutional neural network, body composition information, and causing output of the body composition information.
    Type: Application
    Filed: March 4, 2021
    Publication date: April 27, 2023
    Inventors: Jayaram K. UDUPA, Tiange LIU, Yubing TONG, Drew A. TORIGIAN
  • Quantification and staging of body-wide tissue composition and of abnormal states on medical images via automatic anatomy recognition
    Patent number: 11443433
    Abstract: Quantification of body composition plays an important role in many clinical and research applications. Radiologic imaging techniques such as Dual-energy X-ray absorptiometry, magnetic resonance imaging (MRI), and computed tomography (CT) imaging make accurate quantification of the body composition possible. This disclosure presents an automated, efficient, accurate, and practical body composition quantification method for low dose CT images; method for quantification of disease from images; and methods for implementing virtual landmarks.
    Type: Grant
    Filed: February 11, 2019
    Date of Patent: September 13, 2022
    Assignee: The Trustees of the University of Pennsylvania
    Inventors: Jayaram K. Udupa, Tiange Liu, Drew A. Torigian, Dewey Odhner, Yubing Tong
  • Quantification And Staging Of Body-Wide Tissue Composition And Of Abnormal States On Medical Images Via Automatic Anatomy Recognition
    Publication number: 20190259159
    Abstract: Quantification of body composition plays an important role in many clinical and research applications. Radiologic imaging techniques such as Dual-energy X-ray absorptiometry, magnetic resonance imaging (MRI), and computed tomography (CT) imaging make accurate quantification of the body composition possible. This disclosure presents an automated, efficient, accurate, and practical body composition quantification method for low dose CT images; method for quantification of disease from images; and methods for implementing virtual landmarks.
    Type: Application
    Filed: February 11, 2019
    Publication date: August 22, 2019
    Inventors: Jayaram K. Udupa, Tiange Liu, Drew A. Torigian, Dewey Odhner, Yubing Tong