Patents by Inventor Lubomir Hadjiyski

Lubomir Hadjiyski 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).

  • Retained object tag and detection method
    Patent number: 10357183
    Abstract: A retained object tag, and a method of detecting the presence of a retained object or the retained object tag in a medical image. The method can include different steps such as identifying one or more potential sites in the medical image where the retained object or retained object tag may be present. The method can also include analyzing one or more features of the identified potential site against one or more predetermined properties of the retained object or the retained object tag. And the method can include determining whether the identified potential site is a retained object or a retained object tag based in part or more upon the analyzed feature.
    Type: Grant
    Filed: February 4, 2013
    Date of Patent: July 23, 2019
    Assignee: The Regents of the University of Michigan
    Inventors: Theodore Marentis, Nikolaos Chronis, Anurag Tripathi, Heang-Ping Chan, Lubomir Hadjiyski, Amrita Ray Chaudhury, Lucas James Rondon
  • RETAINED OBJECT TAG AND DETECTION METHOD
    Publication number: 20150018671
    Abstract: A retained object tag, and a method of detecting the presence of a retained object or the retained object tag in a medical image. The method can include different steps such as identifying one or more potential sites in the medical image where the retained object or retained object tag may be present. The method can also include analyzing one or more features of the identified potential site against one or more predetermined properties of the retained object or the retained object tag. And the method can include determining whether the identified potential site is a retained object or a retained object tag based in part or more upon the analyzed feature.
    Type: Application
    Filed: February 4, 2013
    Publication date: January 15, 2015
    Inventors: Theodore Marentis, Nikolaos Chronis, Anurag Tripathi, Heang-Ping Chan, Lubomir Hadjiyski, Amrita Ray Chaudhury, Lucas James Rondon
  • Lung nodule detection and classification
    Publication number: 20050207630
    Abstract: A computer assisted method of detecting and classifying lung nodules within a set of CT images includes performing body contour, airway, lung and esophagus segmentation to identify the regions of the CT images in which to search for potential lung nodules. The lungs are processed to identify the left and right sides of the lungs and each side of the lung is divided into subregions including upper, middle and lower subregions and central, intermediate and peripheral subregions. The computer analyzes each of the lung regions to detect and identify a three-dimensional vessel tree representing the blood vessels at or near the mediastinum. The computer then detects objects that are attached to the lung wall or to the vessel tree to assure that these objects are not eliminated from consideration as potential nodules.
    Type: Application
    Filed: February 14, 2003
    Publication date: September 22, 2005
    Applicant: The Regents of the University of Michigan Technology Management Office
    Inventors: Heang-Ping Chan, Berkman Sahiner, Lubomir Hadjiyski, Chuan Zhou, Nicholas Petrick