Patents by Inventor Kuan-Hao SU

Kuan-Hao SU 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).

  • Publication number: 20240320879
    Abstract: The current disclosure provides systems and methods for increasing a quality of medical images via a recommendation system that recommends appropriate parameter settings to a user of a medical imaging system. In one example, a hybrid recommendation system for recommending a parameter setting for acquiring and/or reconstructing an image via a Positron Emission Tomography (PET) system comprises a first model trained to predict a parameter setting based on a preliminary reconstructed image; and a second model trained to customize the predicted parameter setting based on a preference of a user of the hybrid recommendation system.
    Type: Application
    Filed: March 22, 2023
    Publication date: September 26, 2024
    Inventors: Abolfazl Mehranian, Scott Wollenweber, Kuan-Hao Su, Robert John Johnsen, Floribertus P Heukensfeldt Jansen
  • Publication number: 20240037813
    Abstract: A computer-implemented method for motion compensation of medical imaging data includes estimating, via a processor, non-periodic motion of a myocardium of a heart due to respiration and/or other body movements throughout a positron emission tomography (PET) scan based on list-mode emission data acquired during the PET scan of the heart of a subject. The method also includes performing, via the processor, event-by-event motion-corrected list-mode reconstruction on the list-mode emission data to generate cardiac images with the non-periodic motion removed.
    Type: Application
    Filed: August 1, 2022
    Publication date: February 1, 2024
    Inventors: Matthew Gilbert Spangler-Bickell, Kuan-Hao Su, Floribertus Philippus Martin Heukensfeldt Jansen, Timothy Wayne Deller
  • Patent number: 10438380
    Abstract: A medical image (24) with contrast of one imaging modality is emulated from images with other contrast characteristics. A plurality of input images (20) of a region of interest with the other contrast characteristics is received. A transform (22) which was generated by machine learning is applied to the corresponding plurality of input images (20) to generate a scalar value (38) or a vector value (38?) representing the corresponding voxel (36?) of the medical image (24) to be evaluated.
    Type: Grant
    Filed: November 20, 2015
    Date of Patent: October 8, 2019
    Assignees: KONINKLIJKE PHILIPS N.V., CASE WESTERN RESERVE UNIVERSITY, UNIVERSITY HOSPITALS MEDICAL GROUP, INC.
    Inventors: Lingzhi Hu, Lingxiong Shao, Raymond Frank Muzic, Kuan-Hao Su, Pengjiang Qian
  • Publication number: 20170372497
    Abstract: A medical image (24) with contrast of one imaging modality is emulated from images with other contrast characteristics. A plurality of input images (20) of a region of interest with the other contrast characteristics is received. A transform (22) which was generated by machine learning is applied to the corresponding plurality of input images (20) to generate a scalar value (38) or a vector value (38?) representing the corresponding voxel (36?) of the medical image (24) to be evaluated.
    Type: Application
    Filed: November 20, 2015
    Publication date: December 28, 2017
    Applicants: KONINKLIJKE PHILIPS N.V., CASE WESTERN RESERVE UNIVERSITY, UNIVERSITY HOSPITALS MEDICAL GROUP, INC.
    Inventors: Lingzhi HU, Lingxiong SHAO, Raymond Frank MUZIC, Kuan-Hao SU, Pengjiang QIAN