Patents by Inventor Kevin Peter Robinson

Kevin Peter Robinson 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: 8983154
    Abstract: A method of formatting data for identifying colon polyps in a Computed Tomography Colonography (CTC) dataset comprising the steps of: extracting colon surface data, from the CTC dataset, within a sub-volume centered on a candidate polyp (CP) seed point; identifying individual sets of points corresponding to the CP's body and CP's base within the sub-volume; selecting the points corresponding to the body; re-formatting the candidate polyp by projecting the selected points corresponding to the body on to a tangent plane; and generating a series of cutting planes based on the reformatted candidate polyp.
    Type: Grant
    Filed: November 28, 2008
    Date of Patent: March 17, 2015
    Assignee: Dublin City University
    Inventors: Paul Francis Whelan, Kevin Peter Robinson, Nicolas Sezille
  • Patent number: 8472687
    Abstract: A method of processing a 3-dimensional Computed Tomography Colonography data set to remove tagged material is disclosed. The method involves the preliminary processing step of classifying voxels in the data set as corresponding to air, tagged material or colon tissue. Methods of overcoming erroneous classification of Partial Volume air/tagged material interface voxels are disclosed. The present invention also provides for methods of circumventing problems resulting from removal of tagged material from a CTC data set, which can result in the erosion of soft-tissue structures partially covered by tagged colonic fluid.
    Type: Grant
    Filed: May 28, 2009
    Date of Patent: June 25, 2013
    Assignee: Dublin City University
    Inventors: Mark Brendan Sugrue, Paul Francis Whelan, Kevin Peter Robinson, Tarik Ahmed Chowdhury
  • Publication number: 20100303322
    Abstract: A method of formatting data for detecting flat polyps in a Computed Tomography Colonography, CTC, dataset comprising the steps of: extracting colon surface data, from the CTC dataset, within a sub-volume centred on a candidate polyp seed point; identifying individual sets of points corresponding to the candidate polyp's body and the candidate polyp's base within that sub-volume; projecting the set of points corresponding to the candidate polyp's body on to a tangent plane via a normal vector, wherein the normal vector is calculated from the best fitting plane to the set of points corresponding to the candidate polyp's base; isolating a new seed point for the candidate polyp from the projected data; locating the nearest surface point to the new seed in the extracted dataset above, and region-growing the surface ab initio from this point; identifying individual sets of points corresponding to the candidate polyp's body and the candidate polyp's base in the region-grown surface, and determining the normal vector
    Type: Application
    Filed: November 28, 2008
    Publication date: December 2, 2010
    Inventors: Paul Francis Whelan, Kevin Peter Robinson, Nicolas Sezille