Patents by Inventor Arthur Jeffreys

Arthur Jeffreys 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: 9888876
    Abstract: The present invention, referred to as Oasis is Automated Statistical Inference for Segmentation (OASIS), is a fully automated and robust statistical method for cross-sectional MS lesion segmentation. Using intensity information from multiple modalities of MRI, a logistic regression model assigns voxel-level probabilities of lesion presence. The OASIS model produces interpretable results in the form of regression coefficients that can be applied to imaging studies quickly and easily. OASIS uses intensity-normalized brain MRI volumes, enabling the model to be robust to changes in scanner and acquisition sequence. OASIS also adjusts for intensity inhomogeneities that preprocessing bias field correction procedures do not remove, using BLUR volumes. This allows for more accurate segmentation of brain areas that are highly distorted by inhomogeneities, such as the cerebellum.
    Type: Grant
    Filed: March 21, 2013
    Date of Patent: February 13, 2018
    Assignees: The Johns Hopkins University, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., The United States of America, as Represented by the Secretary, Department of Health and Human Services
    Inventors: Ciprian Crainiceanu, Arthur Jeffrey Goldsmith, Dzung Pham, Daniel S. Reich, Navid Shiee, Russell T. Shinohara, Elizabeth M. Sweeney
  • Publication number: 20150045651
    Abstract: The present invention, referred to as Oasis is Automated Statistical Inference for Segmentation (OASIS), is a fully automated and robust statistical method for cross-sectional MS lesion segmentation. Using intensity information from multiple modalities of MRI, a logistic regression model assigns voxel-level probabilities of lesion presence. The OASIS model produces interpretable results in the form of regression coefficients that can be applied to imaging studies quickly and easily. OASIS uses intensity-normalized brain MRI volumes, enabling the model to be robust to changes in scanner and acquisition sequence. OASIS also adjusts for intensity inhomogeneities that preprocessing bias field correction procedures do not remove, using BLUR volumes. This allows for more accurate segmentation of brain areas that are highly distorted by inhomogeneities, such as the cerebellum.
    Type: Application
    Filed: March 21, 2013
    Publication date: February 12, 2015
    Inventors: Ciprian Crainiceanu, Arthur Jeffrey Goldsmith, Dzung Pham, Daniel S. Reich, Navid Shiee, Russell T. Shinohara, Elizabeth M. Sweeney
  • Patent number: 5205429
    Abstract: A tackle box has a box body with a hinged lid. The box body has a deeper front portion and a shallower back portion. Correspondingly, the lid has a deeper back portion and shallower front portion. The back portion of the box body carries a stack of interconnected slidably mounted superimposed trays which can be pulled out rearwardly cantilever fashion when the lid is opened. The front portion of the box body has superimposed pull-out drawers. The box has a bail-type pivoting handle with a lid-latching mechanism which only allows the lid to open when the handle is swung forward from a box-carrying position. In the top of the lid, there is a removable shallow carrying case which can be used separately from the box.
    Type: Grant
    Filed: September 26, 1991
    Date of Patent: April 27, 1993
    Assignee: Woodstream Corporation
    Inventors: Andrew B. Woolworth, Arthur Jeffreys, John H. Coldren