Patents by Inventor Geoffrey T. Manley

Geoffrey T. Manley 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: 11810296
    Abstract: A computer-based method for quantitative evaluation of computed tomography (CT) images of the head, particularly in circumstances of neurological emergency such as acute intracranial hemorrhage, evidence of intracranial mass effect, and acute stroke. The method comprises: calculation of volumes of abnormal areas such as locations of hemorrhage; quantification of severity of midline shift and basilar cistern effacement; and rapid identification of anatomical locations of abnormal findings. The methods comprise use of heuristics, convolutional neural networks, deep learning, edge detection, and Hough transform.
    Type: Grant
    Filed: November 9, 2021
    Date of Patent: November 7, 2023
    Assignee: The Regents of the University of California
    Inventors: Esther L. Yuh, Pratik Mukherjee, Geoffrey T. Manley
  • Publication number: 20220092772
    Abstract: A computer-based method for quantitative evaluation of computed tomography (CT) images of the head, particularly in circumstances of neurological emergency such as acute intracranial hemorrhage, evidence of intracranial mass effect, and acute stroke. The method comprises: calculation of volumes of abnormal areas such as locations of hemorrhage; quantification of severity of midline shift and basilar cistern effacement; and rapid identification of anatomical locations of abnormal findings. The methods comprise use of heuristics, convolutional neural networks, deep learning, edge detection, and Hough transform.
    Type: Application
    Filed: November 9, 2021
    Publication date: March 24, 2022
    Inventors: Esther L. Yuh, Pratik Mukherjee, Geoffrey T. Manley
  • Patent number: 11200664
    Abstract: A computer-based method for quantitative evaluation of computed tomography (CT) images of the head, particularly in circumstances of neurological emergency such as acute intracranial hemorrhage, evidence of intracranial mass effect, and acute stroke. The method comprises: calculation of volumes of abnormal areas such as locations of hemorrhage; quantification of severity of midline shift and basilar cistern effacement; and rapid identification of anatomical locations of abnormal findings. The methods comprise use of heuristics, convolutional neural networks, deep learning, edge detection, and Hough transform.
    Type: Grant
    Filed: December 16, 2016
    Date of Patent: December 14, 2021
    Assignee: The Regents of the University of California
    Inventors: Esther L. Yuh, Pratik Mukherjee, Geoffrey T. Manley
  • Publication number: 20180365824
    Abstract: A computer-based method for quantitative evaluation of computed tomography (CT) images of the head, particularly in circumstances of neurological emergency such as acute intracranial hemorrhage, evidence of intracranial mass effect, and acute stroke. The method comprises: calculation of volumes of abnormal areas such as locations of hemorrhage; quantification of severity of midline shift and basilar cistern effacement; and rapid identification of anatomical locations of abnormal findings. The methods comprise use of heuristics, convolutional neural networks, deep learning, edge detection, and Hough transform.
    Type: Application
    Filed: December 16, 2016
    Publication date: December 20, 2018
    Inventors: Esther L. Yuh, Pratik Mukherjee, Geoffrey T. Manley