Patents by Inventor Peter Maceneaney

Peter Maceneaney 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).

  • Method for computer-aided detection of three-dimensional lesions
    Patent number: 7379572
    Abstract: A method, system, and computer program product for identifying at least one three-dimensionally extended lesion within a volumetric region encompassing an inner surface, an outer surface, and intervening tissue of a target organ. The method includes: (1) generating a set of voxels representing a total scanned volume from a set of cross-sectional images of the target organ; (2) performing segmentation to extract a set of voxels representing the volumetric region from the set of voxels representing the total scanned volume; (3) detecting a set of candidate lesions based on geometric feature values of each voxel in the set of voxels representing the volumetric region; and (4) selecting the at least one three-dimensionally extended lesion from the set of candidate lesions based on at least one of volumetric, morphologic, and texture feature values of each lesion in the set of candidate lesions.
    Type: Grant
    Filed: October 16, 2002
    Date of Patent: May 27, 2008
    Assignee: University of Chicago
    Inventors: Hiroyuki Yoshida, Abraham Dachman, Janne Nappi, Peter Maceneaney, David Rubin, Yoshitaka Masutani, Li Lan
  • Method for computer-aided detection of three-dimensional lesions
    Publication number: 20030223627
    Abstract: A method, system, and computer program product for identifying at least one three-dimensionally extended lesion within a volumetric region encompassing an inner surface, an outer surface, and intervening tissue of a target organ. The method includes: (1) generating a set of voxels representing a total scanned volume from a set of cross-sectional images of the target organ; (2) performing segmentation to extract a set of voxels representing the volumetric region from the set of voxels representing the total scanned volume; (3) detecting a set of candidate lesions based on geometric feature values of each voxel in the set of voxels representing the volumetric region; and (4) selecting the at least one three-dimensionally extended lesion from the set of candidate lesions based on at least one of volumetric, morphologic, and texture feature values of each lesion in the set of candidate lesions.
    Type: Application
    Filed: October 16, 2002
    Publication date: December 4, 2003
    Applicant: University of Chicago
    Inventors: Hiroyuki Yoshida, Abraham Dachman, Janne Nappi, Peter Maceneaney, David Rubin, Yoshitaka Masutani, Li Lan