Patents by Inventor Desmond Ryan Chung

Desmond Ryan Chung 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).

  • Publication number: 20150347694
    Abstract: There is described a computer-implemented method for selecting readers to analyze a medical image, comprising use of at least one processing unit for: receiving a radiology order associated with the medical image; determining an order subspecialty corresponding to the radiology order; comparing a reader subspecialty of each one of a group of readers to the determined order subspecialty of the radiology order; identifying given readers amongst the group of readers who are qualified for analyzing the radiology order using the comparison; and outputting an identification of the given readers.
    Type: Application
    Filed: May 15, 2015
    Publication date: December 3, 2015
    Inventors: Desmond Ryan Chung, Elizabeth Lam
  • Publication number: 20150347693
    Abstract: There is described a computer-implemented method for selecting readers for analyzing a medical image, comprising use of at least one processing unit for: receiving an order due-in-time requirement associated with a given radiology order, the radiology order being associated with the medical image to be analyzed; receiving an order expected reading time for analyzing the medical image for each reader of a group of readers, each reader having a respective order analysis schedule of assigned orders, each assigned order being provided with a respective due-in-time requirement and a respective expected reading time; identifying adequate readers for whom the given radiology order is insertable in the respective order analysis schedule using the order due-in-time requirement associated with the given radiology order, the order expected reading time, and the respective due-in-time requirement and respective expecting reading time for each one of the assigned orders; and outputting an identification of the adequate re
    Type: Application
    Filed: May 15, 2015
    Publication date: December 3, 2015
    Inventors: Elizabeth Lam, Desmond Ryan Chung
  • Patent number: 9119559
    Abstract: The invention relates to the field of computerized generation of a visualization from a plurality of images. In particular, the invention relates to generating a three-dimensional (3D) visualization from a plurality of two-dimensional (2D) medical images. The images may be obtained from an ultrasound device. Regions of interest are segmented in at least two images and the region of interest is then tracked and segmented among the remaining images.
    Type: Grant
    Filed: June 15, 2012
    Date of Patent: September 1, 2015
    Assignee: Salient Imaging, Inc.
    Inventors: Jeffrey B. Collins, Frederic Lachmann, Ted Timar, Desmond Ryan Chung, Janet R. Sterritt, Scott Reginald Norris, Erin M. Walsh, Tatiana Sheinfeld, Sumit Nath, Ning Hu
  • Publication number: 20130016092
    Abstract: The invention relates to the field of computerized generation of a visualization from a plurality of images. In particular, the invention relates to generating a three-dimensional (3D) visualization from a plurality of two-dimensional (2D) medical images. The images may be obtained from an ultrasound device. Regions of interest are segmented in at least two images and the region of interest is then tracked and segmented among the remaining images.
    Type: Application
    Filed: June 15, 2012
    Publication date: January 17, 2013
    Applicant: THE MEDIPATTERN COPRORATION
    Inventors: Jeffrey B. Collins, Frederic Lachmann, Ted Timar, Desmond Ryan Chung, Janet R. Sterritt, Scott Reginald Norris, Erin M. Walsh, Tatiana Sheinfeld, Sumit Nath, Ning Hu
  • Publication number: 20100158332
    Abstract: The invention provides a system and method for processing medical images. Input medical images are normalized first, utilizing pixel intensities of control point tissues, including subcutaneous fat. Clustered density map and malignance probability map are generated from a normalized image and further analyzed to identify regions of common internal characteristics, or blobs, that may represent lesions. These blobs are analyzed and classified to differentiate possible true lesions from other types of non-malignant masses often seen in medical images.
    Type: Application
    Filed: December 21, 2009
    Publication date: June 24, 2010
    Inventors: Dan Rico, Desmond Ryan Chung