Patents by Inventor Donghwi Hwang

Donghwi Hwang 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).

  • Positron emission tomography system and image reconstruction method using the same
    Patent number: 11756241
    Abstract: Disclosed are a positron emission tomography system and an image reconstructing method using the same and the positron emission tomography system includes: a collection unit collecting a positron emission tomography sinogram (PET sinogram); an image generation unit applying the positron emission tomography sinogram to an MLAA with TOF and generating a first emission image and a first attenuation image and a NAC image reconstructed without attenuation correction; and a control unit selecting at least one of the first emission image, the first attenuation image and the NAC image generated by the image generation unit as an input image and generating and providing a final attenuation image by applying the input image to the learned deep learning algorithm.
    Type: Grant
    Filed: February 8, 2021
    Date of Patent: September 12, 2023
    Assignee: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
    Inventors: Jae Sung Lee, Donghwi Hwang, Kyeong Yun Kim
  • POSITRON EMISSION TOMOGRAPHY SYSTEM AND IMAGE RECONSTRUCTION METHOD USING THE SAME
    Publication number: 20210166444
    Abstract: Disclosed are a positron emission tomography system and an image reconstructing method using the same and the positron emission tomography system includes: a collection unit collecting a positron emission tomography sinogram (PET sinogram); an image generation unit applying the positron emission tomography sinogram to an MLAA with TOF and generating a first emission image and a first attenuation image and a NAC image reconstructed without attenuation correction; and a control unit selecting at least one of the first emission image, the first attenuation image and the NAC image generated by the image generation unit as an input image and generating and providing a final attenuation image by applying the input image to the learned deep learning algorithm.
    Type: Application
    Filed: February 8, 2021
    Publication date: June 3, 2021
    Inventors: Jae Sung Lee, Donghwi Hwang, Kyeong Yun Kim
  • Positron emission tomography system and image reconstruction method using the same
    Patent number: 10943349
    Abstract: Disclosed are a positron emission tomography system and an image reconstructing method using the same and the positron emission tomography system includes: a collection unit collecting a positron emission tomography sinogram (PET sinogram); an image generation unit applying the positron emission tomography sinogram to an MLAA with TOF and generating a first emission image and a first attenuation image; and a control unit selecting at least one of the first emission image and the first attenuation image generated by the image generation unit as an input image and generating and providing a final attenuation image by applying the input image to the learned deep learning algorithm.
    Type: Grant
    Filed: February 22, 2019
    Date of Patent: March 9, 2021
    Assignee: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
    Inventors: Jae Sung Lee, Donghwi Hwang, Kyeong Yun Kim
  • POSITRON EMISSION TOMOGRAPHY SYSTEM AND IMAGE RECONSTRUCTION METHOD USING THE SAME
    Publication number: 20190266728
    Abstract: Disclosed are a positron emission tomography system and an image reconstructing method using the same and the positron emission tomography system includes: a collection unit collecting a positron emission tomography sinogram (PET sinogram); an image generation unit applying the positron emission tomography sinogram to an MLAA with TOF and generating a first emission image and a first attenuation image; and a control unit selecting at least one of the first emission image and the first attenuation image generated by the image generation unit as an input image and generating and providing a final attenuation image by applying the input image to the learned deep learning algorithm.
    Type: Application
    Filed: February 22, 2019
    Publication date: August 29, 2019
    Inventors: Jae Sung LEE, Donghwi Hwang, Kyeong Yun Kim