Title:
DEVICE AND METHOD FOR PROVIDING INFORMATION FOR ASSISTING DEMENTIA DIAGNOSIS
Document Type and Number:
WIPO Patent Application WO/2023/163302
Kind Code:
A1
Abstract:
One preferred embodiment of the present invention provides a device and method for providing information for assisting dementia diagnosis. The device and method for providing information for assisting dementia diagnosis, according to one preferred embodiment of the present invention, is characterized in that a brain MRI image and a brain PET image of a subject being diagnosed are received, and the brain MRI image is segmented into a plurality of regions, and then matched with the brain PET image. Further, respective standardized uptake value ratios (SUVRs) of the segmented regions are derived in the matched image, and respective standard values of the segmented regions are derived, the respective standard values indicating the closeness of the respective SUVRs of the subject being diagnosed to pre-stored respective average SUVR values of an Alzheimer's subject group and respective average SUVR values of a normal person group, of the segmented regions. Then, respective weighted SUVRs of the segmented regions are provided, the respective weighted SUVRs being derived by multiplying the respective SUVRs by the respective standard values of the subject being diagnosed, and dementia diagnosis is carried out by applying the weighted SUVRs to a pre-trained machine learning algorithm, and thus, compared to conventional techniques which simply provide only absolute SUVR values, various information needed for dementia diagnosis may be provided, and the accuracy of dementia diagnosis may be increased.
Inventors:
LEE JI YEON (KR)
KIM DONG HYEON (KR)
LEE MIN HO (KR)
KIM EUN YOUNG (KR)
KIM DONG HYEON (KR)
LEE MIN HO (KR)
KIM EUN YOUNG (KR)
Application Number:
PCT/KR2022/013163
Publication Date:
August 31, 2023
Filing Date:
September 02, 2022
Export Citation:
Assignee:
NEUROPHET INC (KR)
International Classes:
A61B5/00; A61B5/055; A61B6/00; A61B6/03; G16H50/20; G16H50/30
Foreign References:
| KR20220016570A | 2022-02-10 | |||
| KR20200062589A | 2020-06-04 | |||
| KR20190041136A | 2019-04-22 |
Other References:
TAEHO JO; KWANGSIK NHO; ANDREW J. SAYKIN: "Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 2 May 2019 (2019-05-02), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081466439, DOI: 10.3389/fnagi.2019.00220
KIM SEONJIK, YOON UICHEUL: "Region of Interest Analysis for Standardized Uptake Value Ratio of 18 F-fludeoxyglucose PET: Mild Cognitive Impairment and Alzheimer's Disease", JOURNAL OF BIOMEDICAL ENGINEERING RESEARCH, THE KOREAN SOCIETY OF MEDICAL AND BIOLOGICAL ENGINEERING BIMONTHLY, vol. 39, no. 6, 31 December 2018 (2018-12-31), pages 237 - 242, XP055961139, ISSN: 2288-9396, DOI: 10.9718/JBER.2018.39.6.237
KIM SEONJIK, YOON UICHEUL: "Region of Interest Analysis for Standardized Uptake Value Ratio of 18 F-fludeoxyglucose PET: Mild Cognitive Impairment and Alzheimer's Disease", JOURNAL OF BIOMEDICAL ENGINEERING RESEARCH, THE KOREAN SOCIETY OF MEDICAL AND BIOLOGICAL ENGINEERING BIMONTHLY, vol. 39, no. 6, 31 December 2018 (2018-12-31), pages 237 - 242, XP055961139, ISSN: 2288-9396, DOI: 10.9718/JBER.2018.39.6.237
Attorney, Agent or Firm:
B&IP-JOOWON PATENT AND LAW FIRM (KR)
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