Patents by Inventor David Prout

David Prout 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: 10234572
    Abstract: High sensitivity and high spatial resolution detection modules are provided that that can be built into an array or incorporated into PET or other types of gamma ray detectors and imagers. Each detection module has a scintillation detector block, light detector and optional light guide. The detector block may be formed of a first scintillation layer material that has a fast decay constant and high light output (e.g. LYSO) and a second scintillation layer material with a slow decay constant and a lower light output (e.g. BGO) with a first layer to second layer array pitch ratio of approximately 2:3. Due to the large difference of light output and decay time of LYSO and BGO signals, three different types of events (LYSO, BGO and CLCS) can be identified with high accuracy.
    Type: Grant
    Filed: July 27, 2015
    Date of Patent: March 19, 2019
    Assignee: The Regents of the University of California
    Inventors: Arion-Xenofon Hadjioannou, Zheng Gu, David Prout
  • Publication number: 20170212251
    Abstract: High sensitivity and high spatial resolution detection modules are provided that that can be built into an array or incorporated into PET or other types of gamma ray detectors and imagers. Each detection module has a scintillation detector block, light detector and optional light guide. The detector block may be formed of a first scintillation layer material that has a fast decay constant and high light output (e.g. LYSO) and a second scintillation layer material with a slow decay constant and a lower light output (e.g. BGO) with a first layer to second layer array pitch ratio of approximately 2:3. Due to the large difference of light output and decay time of LYSO and BGO signals, three different types of events (LYSO, BGO and CLCS) can be identified with high accuracy.
    Type: Application
    Filed: July 27, 2015
    Publication date: July 27, 2017
    Inventors: Arion-Xenofon Hadjioannou, Zheng Gu, David Prout