Patents by Inventor Tyler STEED

Tyler STEED 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 segmentation and quantitative parameterization of brain tumors in MRI
    Patent number: 10169685
    Abstract: Techniques, systems, and devices are described for implementing automatic segmentation and quantitative parameterization of MRI images. For example, the disclosed method includes processing the MRI image to correct any distortions; performing a preliminary segmentation of the MRI image to assign a tissue label of a set of tissue labels to one or more preliminary volumes of voxels of the MRI image; comparing each voxel of the MRI image with the one or more preliminary volumes of voxels with an assigned tissue label and assigning each voxel of the MRI image a probability of being associated with each tissue label of the set of tissue labels; and assigning each voxel of the MRI image a tissue label according to its greatest probability among probabilities for each voxel being associated with the set of tissue labels.
    Type: Grant
    Filed: July 7, 2015
    Date of Patent: January 1, 2019
    Assignee: The Regents of the University of California
    Inventors: Clark Chen, Tyler Steed, Bob S. Carter, Anders M. Dale
  • Automatic Segmentation And Quantitative Parameterization Of Brain Tumors In MRI
    Publication number: 20170147908
    Abstract: Techniques, systems, and devices are described for implementing automatic segmentation and quantitative parameterization of MRI images. For example, the disclosed method includes processing the MRI image to correct any distortions; performing a preliminary segmentation of the MRI image to assign a tissue label of a set of tissue labels to one or more preliminary volumes of voxels of the MRI image; comparing each voxel of the MRI image with the one or more preliminary volumes of voxels with an assigned tissue label and assigning each voxel of the MRI image a probability of being associated with each tissue label of the set of tissue labels; and assigning each voxel of the MRI image a tissue label according to its greatest probability among probabilities for each voxel being associated with the set of tissue labels.
    Type: Application
    Filed: July 7, 2015
    Publication date: May 25, 2017
    Inventors: Clark CHEN, Tyler STEED, Bob S. CARTER, Anders M. DALE