Patents by Inventor Navid Zeraatkar

Navid Zeraatkar 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: 10692188
    Abstract: An improved method for peak detection in a two-dimensional image is disclosed. In one implementation, the method includes one or more of the following steps: generating a smooth image from the two-dimensional image, detecting a plurality of local peaks in the smooth image, detecting a plurality of true peaks among the plurality of local peaks, and generating a peak-detected image from the smooth image. The smooth image includes a plurality of pixels, where each pixel of the plurality of pixels has an intensity level and an address. The address includes a row number and a column number. The peak-detected image includes a first true peaks subset from the plurality of true peaks. In one implementation, the intensity level of each true peak of the first true peaks subset is higher than an intensity threshold. The method further includes localizing at least one true peak of the first true peaks subset in the peak-detected image.
    Type: Grant
    Filed: December 1, 2017
    Date of Patent: June 23, 2020
    Assignee: TOSE'E SANAYE TASVIRBARDARI PARTO NEGAR PERSIA COMPANY LTD.
    Inventors: Navid Zeraatkar, Salar Sajedi Toighoun, Mohsen Taheri Parkoohi, Mohammad Reza Ay, Mohammad Hossein Farahani, Saeed Sarkar
  • Publication number: 20180101936
    Abstract: An improved method for peak detection in a two-dimensional image is disclosed. In one implementation, the method includes one or more of the following steps: generating a smooth image from the two-dimensional image, detecting a plurality of local peaks in the smooth image, detecting a plurality of true peaks among the plurality of local peaks, and generating a peak-detected image from the smooth image. The smooth image includes a plurality of pixels, where each pixel of the plurality of pixels has an intensity level and an address. The address includes a row number and a column number. The peak-detected image includes a first true peaks subset from the plurality of true peaks. In one implementation, the intensity level of each true peak of the first true peaks subset is higher than an intensity threshold. The method further includes localizing at least one true peak of the first true peaks subset in the peak-detected image.
    Type: Application
    Filed: December 1, 2017
    Publication date: April 12, 2018
    Applicant: Tose'e Sanaye Tasvirbardari Parto Negar Persia Company Ltd.
    Inventors: Navid Zeraatkar, Salar Sajedi Toighoun, Mohsen Taheri Parkoohi, Mohammad Reza Ay, Mohammad Hossein Farahani, Saeed Sarkar
  • Patent number: 9753147
    Abstract: An open-gantry structure of SPECT imaging system for scanning human small organs or small animals and method for preparing the system is disclosed. The system contains an imaging desk that one or multiple detector heads are rotated around the object to be scanned while tilted under the imaging desk and dedicated image reconstruction algorithm was developed for the system in case of applying single pinhole collimator.
    Type: Grant
    Filed: December 19, 2015
    Date of Patent: September 5, 2017
    Assignee: Parto Negar Persia Co.
    Inventors: Navid Zeraatkar, Mohammad Hossein Farahani, Mohammad Reza Ay, Saeid Sarkar
  • Publication number: 20160116604
    Abstract: An open-gantry structure of SPECT imaging system for scanning human small organs or small animals and method for preparing the system is disclosed. The system contains an imaging desk that one or multiple detector heads are rotated around the object to be scanned while tilted under the imaging desk and dedicated image reconstruction algorithm was developed for the system in case of applying single pinhole collimator.
    Type: Application
    Filed: December 19, 2015
    Publication date: April 28, 2016
    Inventors: Navid Zeraatkar, Mohammad Hossein Farahani, Mohammad Reza Ay, Saeed Sarkar