Patents by Inventor Ya-Ju Tsai

Ya-Ju Tsai 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: 11593935
    Abstract: The present disclosure provides an operating method of a dopamine transporter check system, and the operation method includes steps as follows. A scan image of a subject's brain is obtained from a scan machine, and the scan image is a three-dimensional image. The scan image is aligned to a standard brain space to obtain a standardized scan image. Intensity normalization is performed on the standardized scan image. The standardized scan image after the intensity normalization is converted into a two-dimensional image. A plurality of image data are got from at least one region of interest in the two-dimensional image, and the at least one region of interest includes a left caudate, a left putamen, a right caudate and a right putamen. A dopamine neuron loss degree measurement and evaluation model based on the image data is established through a transfer learning.
    Type: Grant
    Filed: December 9, 2020
    Date of Patent: February 28, 2023
    Assignee: TAIPEI MEDICAL UNIVERSITY (TMU)
    Inventors: Syu-Jyun Peng, Hsin-Yung Chen, Ya-Ju Tsai
  • Publication number: 20220122246
    Abstract: The present disclosure provides an operating method of a dopamine transporter check system, and the operation method includes steps as follows. A scan image of a subject's brain is obtained from a scan machine, and the scan image is a three-dimensional image. The scan image is aligned to a standard brain space to obtain a standardized scan image. Intensity normalization is performed on the standardized scan image. The standardized scan image after the intensity normalization is converted into a two-dimensional image. A plurality of image data are got from at least one region of interest in the two-dimensional image, and the at least one region of interest includes a left caudate, a left putamen, a right caudate and a right putamen. A dopamine neuron loss degree measurement and evaluation model based on the image data is established through a transfer learning.
    Type: Application
    Filed: December 9, 2020
    Publication date: April 21, 2022
    Applicant: Taipei Medical University (TMU)
    Inventors: Syu-Jyun Peng, Hsin-Yung Chen, Ya-Ju Tsai