Patents by Inventor Chuanyu Zhou

Chuanyu Zhou 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: 11468607
    Abstract: An image reconstruction system generates a motion estimation using images that have been reconstructed using AI processing. The system receives listmode data collected by an imaging system and produces two or more histo-images based on the listmode data. The system provides the two or more histo-images to an AI system and receives two or more AI reconstructed images back from the AI system based on the two or more histo-images. The system generates a motion estimation based on the two or more AI reconstructed images.
    Type: Grant
    Filed: November 9, 2020
    Date of Patent: October 11, 2022
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Deepak Bharkhada, Chuanyu Zhou, Vladimir Panin, William Whiteley, Jicun Hu, Michael E. Casey
  • Publication number: 20220148236
    Abstract: An image reconstruction system generates a motion estimation using images that have been reconstructed using AI processing. The system receives listmode data collected by an imaging system and produces two or more histo-images based on the listmode data. The system provides the two or more histo-images to an AI system and receives two or more AI reconstructed images back from the AI system based on the two or more histo-images. The system generates a motion estimation based on the two or more AI reconstructed images.
    Type: Application
    Filed: November 9, 2020
    Publication date: May 12, 2022
    Inventors: Deepak Bharkhada, Chuanyu Zhou, Vladimir Panin, William Whiteley, Jicun Hu, Michael E. Casey
  • Publication number: 20220130079
    Abstract: An image reconstruction system generates de-noised, attenuation corrected, and scatter corrected images using AI processing. The system receives a low-dose PET image and applies a machine learning algorithm via a convolutional neural network to the low-dose PET image to generate an output image. The output image includes correction for scatter and attenuation associated with the image being low-dose. The system provides the output image to a computing device comprising a user interface.
    Type: Application
    Filed: October 23, 2020
    Publication date: April 28, 2022
    Inventors: Jicun Hu, Xiang Zhang, William Whiteley, Chuanyu Zhou, Vladimir Panin
  • Patent number: 11288847
    Abstract: Methods for simulating, and correcting for, doubly scattered annihilation gamma-ray photons in both time-of-flight (TOF) and non-TOF positron emission tomography scan data are disclosed.
    Type: Grant
    Filed: October 10, 2019
    Date of Patent: March 29, 2022
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Charles C. Watson, Jicun Hu, Chuanyu Zhou
  • Publication number: 20200151918
    Abstract: Methods for simulating, and correcting for, doubly scattered annihilation gamma-ray photons in both time-of-flight (TOF) and non-TOF positron emission tomography scan data are disclosed.
    Type: Application
    Filed: October 10, 2019
    Publication date: May 14, 2020
    Inventors: Charles C. Watson, Jicun Hu, Chuanyu Zhou