Title:
DIAGNOSIS ASSISTANCE SYSTEM AND METHOD
Document Type and Number:
WIPO Patent Application WO/2020/054803
Kind Code:
A1
Abstract:
In this invention, a system (10) for providing diagnosis assistance information (110) regarding the sickness of a patient (5) comprises: an acquisition unit (11) that acquires patient information (105) including actual image data (15) from an MR image of the patient, which contains at least a reference region containing a portion that includes an evaluation region; and an information provision unit (12) that provides diagnosis assistance information (110) based on pseudo-PET image data (115) of the evaluation region, which is generated from actual image data of patient-specific MR images by an image processing model (60). The image processing model (60) is built by machine learning on the basis of training data (70) comprising, from a plurality of test subjects, actual image data (71) of MR images of the reference region and actual image data (72) of PET images containing the evaluation region, so as to generate pseudo-PET image data (75) of an evaluation region from actual image data (71) of a reference region MR image.
Inventors:
TAKEMOTO KEMPEI (JP)
KASAI WATARU (JP)
AOYAMA YUKI (JP)
KASAI WATARU (JP)
AOYAMA YUKI (JP)
Application Number:
PCT/JP2019/035914
Publication Date:
March 19, 2020
Filing Date:
September 12, 2019
Export Citation:
Assignee:
SPLINK INC (JP)
International Classes:
A61B5/055; A61B5/00; G01T1/161; G06T7/00
Foreign References:
| JP2018505705A | 2018-03-01 | |||
| JP2006320387A | 2006-11-30 |
Other References:
TOKUI, SEIYA: "Deep Learning Concepts understood from Optimization", OPERATIONS RESEARCH AS A MANAGEMENT SCIENCE RESEARCH, vol. 60, no. 4, April 2015 (2015-04-01), pages 191 - 197, XP009524766, ISSN: 0030-3674
APOORVA SIKKA ET AL., MRI TO FDG-PET: CROSS-MODAL SYNTHESIS USING 3D U-NET FOR MULTI-MODAL ALZHEIMER'S CLASSIFICATION, 30 July 2018 (2018-07-30), Retrieved from the Internet
SUSAN LANDAUWILLIAM JAGUST: "Florbetapir processing methods", ADNI (ALZHEIMER'S DISEASE NEUROIMAGING INITIATIVE, 25 June 2015 (2015-06-25)
GREGORY KLEINMEHUL SAMPATDAVIS STAEWENDAVID SCOTTJOYCE SUHY: "Comparison of SUVR Methods and Reference Regions in Amyloid PET", SNMMI 2015 ANNUAL MEETING, 6 June 2015 (2015-06-06)
NAKAMURA ET AL.: "High performance plasma amytoid-β biomarkers for Alzheimer's disease", NATURE, 8 February 2018 (2018-02-08)
See also references of EP 3851036A4
APOORVA SIKKA ET AL., MRI TO FDG-PET: CROSS-MODAL SYNTHESIS USING 3D U-NET FOR MULTI-MODAL ALZHEIMER'S CLASSIFICATION, 30 July 2018 (2018-07-30), Retrieved from the Internet
SUSAN LANDAUWILLIAM JAGUST: "Florbetapir processing methods", ADNI (ALZHEIMER'S DISEASE NEUROIMAGING INITIATIVE, 25 June 2015 (2015-06-25)
GREGORY KLEINMEHUL SAMPATDAVIS STAEWENDAVID SCOTTJOYCE SUHY: "Comparison of SUVR Methods and Reference Regions in Amyloid PET", SNMMI 2015 ANNUAL MEETING, 6 June 2015 (2015-06-06)
NAKAMURA ET AL.: "High performance plasma amytoid-β biomarkers for Alzheimer's disease", NATURE, 8 February 2018 (2018-02-08)
See also references of EP 3851036A4
Attorney, Agent or Firm:
IMAI, Akira (JP)
Download PDF: