Patents by Inventor Kempei TAKEMOTO

Kempei TAKEMOTO 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: 11978557
    Abstract: A system (10) that provides diagnosis support information (110) relating to a disease of a target subject (5) includes: an acquisition unit (11) that acquires subject information (105) including actual image data (15) of an MR image including at least a reference region including part of an evaluation target region of the subject; and an information providing unit (12) that provides diagnosis support information (110) based on pseudo PET image data (115) of the evaluation target region generated by an image processing model (60) machine learned with training data (70) including actual image data (71) of a MR image of a reference region and actual image data (72) of a PET image including the evaluation target region of a plurality of test subjects so as to generate pseudo PET image data (75) of the evaluation target region from actual image data (71) of an MR image of the reference region, from the actual image data (15) of an individual MR image of the target subject.
    Type: Grant
    Filed: September 12, 2019
    Date of Patent: May 7, 2024
    Assignee: Splink, Inc.
    Inventors: Kempei Takemoto, Wataru Kasai, Yuki Aoyama
  • Publication number: 20210257094
    Abstract: A system (10) that provides diagnosis support information (110) relating to a disease of a target subject (5) includes: an acquisition unit (11) that acquires subject information (105) including actual image data (15) of an MR image including at least a reference region including part of an evaluation target region of the subject; and an information providing unit (12) that provides diagnosis support information (110) based on pseudo PET image data (115) of the evaluation target region generated by an image processing model (60) machine learned with training data (70) including actual image data (71) of a MR image of a reference region and actual image data (72) of a PET image including the evaluation target region of a plurality of test subjects so as to generate pseudo PET image data (75) of the evaluation target region from actual image data (71) of an MR image of the reference region, from the actual image data (15) of an individual MR image of the target subject.
    Type: Application
    Filed: September 12, 2019
    Publication date: August 19, 2021
    Inventors: Kempei TAKEMOTO, Wataru KASAI, Yuki AOYAMA