Patents by Inventor Geoffrey G. Zhang

Geoffrey G. Zhang 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: 11295510
    Abstract: Embodiments of the invention relate to a method and apparatus for displaying information. In a specific embodiment, at least two pluralities of voxel values for a corresponding at least two functions with respect to at least a portion of a subject can be obtained. The at least a portion of the subject can have a plurality of local volume elements, where the at least two pluralities of voxel values for the corresponding at least two functions each correspond to the plurality of local volume elements. In this way, there is a voxel value for each function for each local volume element of the portion of the subject. Each of the at least two pluralities of voxel values represents the value of the corresponding function of the at least two functions for the corresponding plurality of local volume elements. A representation is created where the value of one of the at least two functions is on a first axis and a count of voxels is on a second axis.
    Type: Grant
    Filed: November 14, 2019
    Date of Patent: April 5, 2022
    Assignee: H. LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE, INC.
    Inventors: Kenneth M. Forster, Geoffrey G. Zhang
  • Publication number: 20200193687
    Abstract: Embodiments of the invention relate to a method and apparatus for displaying information. In a specific embodiment, at least two pluralities of voxel values for a corresponding at least two functions with respect to at least a portion of a subject can be obtained. The at least a portion of the subject can have a plurality of local volume elements, where the at least two pluralities of voxel values for the corresponding at least two functions each correspond to the plurality of local volume elements. In this way, there is a voxel value for each function for each local volume element of the portion of the subject. Each of the at least two pluralities of voxel values represents the value of the corresponding function of the at least two functions for the corresponding plurality of local volume elements. A representation is created where the value of one of the at least two functions is on a first axis and a count of voxels is on a second axis.
    Type: Application
    Filed: November 14, 2019
    Publication date: June 18, 2020
    Inventors: KENNETH M. FORSTER, GEOFFREY G. ZHANG
  • Patent number: 10529121
    Abstract: Embodiments of the invention relate to a method and apparatus for displaying information. In a specific embodiment, at least two pluralities of voxel values for a corresponding at least two functions with respect to at least a portion of a subject can be obtained. The at least a portion of the subject can have a plurality of local volume elements, where the at least two pluralities of voxel values for the corresponding at least two functions each correspond to the plurality of local volume elements. In this way, there is a voxel value for each function for each local volume element of the portion of the subject. Each of the at least two pluralities of voxel values represents the value of the corresponding function of the at least two functions for the corresponding plurality of local volume elements. A representation is created where the value of one of the at least two functions is on a first axis and a count of voxels is on a second axis.
    Type: Grant
    Filed: October 7, 2011
    Date of Patent: January 7, 2020
    Assignee: H. LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE, INC.
    Inventors: Kenneth M. Forster, Geoffrey G. Zhang
  • Publication number: 20190247000
    Abstract: A prediction system for grouping hepatocellular carcinoma includes an image capturing unit and a non-transitory machine readable medium. The non-transitory machine readable medium storing a program which, when executed by at least one processing unit, predicts a hepatocellular carcinoma group of the subject patient with hepatocellular carcinoma. The program includes a reference database obtaining module, a first image preprocessing module, a feature selecting module, a classifying module, a second image preprocessing module and a comparing module.
    Type: Application
    Filed: November 8, 2018
    Publication date: August 15, 2019
    Inventors: Tzung-Chi Huang, Jiaxin Yu, Yang-Hsien Lin, Ken Ying-Kai Liao, Wei-Ching Lin, Geoffrey G. Zhang
  • Patent number: 8666139
    Abstract: The invention provides a novel method of high-resolution quantifiable pulmonary regional ventilation imaging using a package of computer programs, including deformable image registration and local volume change calculation on 4-D or breath-hold CT images. High resolution 3D ventilation images have been generated using this technique with superior quality. The deformation matrices between different respiration phases are calculated using deformable image registration and applied to calculate local volume change ?V between respiration phases. The invention provides less image-noise and mismatch sensitivity than other techniques based on CT images, and is less expensive than nuclear medicine imaging. Implemented clinically, the method can derive a patient's pulmonary ventilation information from the same set of 4-D CT images, providing a cheaper but more accurate method to generate clinical lung ventilation image.
    Type: Grant
    Filed: September 17, 2013
    Date of Patent: March 4, 2014
    Assignee: University of South Florida
    Inventors: Geoffrey G. Zhang, Kenneth M. Forster
  • Publication number: 20140018692
    Abstract: The invention provides a novel method of high-resolution quantifiable pulmonary regional ventilation imaging using a package of computer programs, including deformable image registration and local volume change calculation on 4-D or breath-hold CT images. High resolution 3D ventilation images have been generated using this technique with superior quality. The deformation matrices between different respiration phases are calculated using deformable image registration and applied to calculate local volume change ?V between respiration phases. The invention provides less image-noise and mismatch sensitivity than other techniques based on CT images, and is less expensive than nuclear medicine imaging. Implemented clinically, the method can derive a patient's pulmonary ventilation information from the same set of 4-D CT images, providing a cheaper but more accurate method to generate clinical lung ventilation image.
    Type: Application
    Filed: September 17, 2013
    Publication date: January 16, 2014
    Applicant: UNIVERSITY OF SOUTH FLORIDA
    Inventors: GEOFFREY G. ZHANG, KENNETH M. FORSTER
  • Patent number: 8538111
    Abstract: The invention provides a novel method of high-resolution quantifiable pulmonary regional ventilation imaging using a package of computer programs, including deformable image registration and local volume change calculation on 4-D or breath-hold CT images. High resolution 3D ventilation images have been generated using this technique with superior quality. The deformation matrices between different respiration phases are calculated using deformable image registration and applied to calculate local volume change ?V between respiration phases. The invention provides less image-noise and mismatch sensitivity than other techniques based on CT images, and is less expensive than nuclear medicine imaging. Implemented clinically, the method can derive a patient's pulmonary ventilation information from the same set of 4-D CT images, providing a cheaper but more accurate method to generate clinical lung ventilation image.
    Type: Grant
    Filed: April 21, 2009
    Date of Patent: September 17, 2013
    Assignee: University of South Florida
    Inventors: Geoffrey G. Zhang, Kenneth M. Forster
  • Publication number: 20110058721
    Abstract: The invention provides a novel method of high-resolution quantifiable pulmonary regional ventilation imaging using a package of computer programs, including deformable image registration and local volume change calculation on 4-D or breath-hold CT images. High resolution 3D ventilation images have been generated using this technique with superior quality. The deformation matrices between different respiration phases are calculated using deformable image registration and applied to calculate local volume change ?V between respiration phases. The invention provides less image-noise and mismatch sensitivity than other techniques based on CT images, and is less expensive than nuclear medicine imaging. Implemented clinically, the method can derive a patient's pulmonary ventilation information from the same set of 4-D CT images, providing a cheaper but more accurate method to generate clinical lung ventilation image.
    Type: Application
    Filed: April 21, 2009
    Publication date: March 10, 2011
    Applicant: UNIVERSITY OF SOUTH FLORIDA
    Inventors: Geoffrey G. Zhang, Kenneth M. Forster