Title:
METHOD AND DEVICE FOR ANALYZING MULTIMODALITY MEDICAL IMAGES FOR CEREBRAL DISEASE DIAGNOSIS
Document Type and Number:
WIPO Patent Application WO/2023/095989
Kind Code:
A1
Abstract:
The present disclosure relates to a method and device for analyzing multimodality medical images for cerebral disease diagnosis. The method according to an embodiment disclosed herein may comprise: acquiring a plurality of medical images of different modalities for the same patient; selecting at least some of a plurality of pre-trained analysis models corresponding to the modalities of the respective medical images; outputting values related to a plurality of factors, which are the basis for identifying at least one cerebral disease, by inputting each of the medical images according to the selected analysis models on the basis of the modalities of the medical images; converting the output values to generate a plurality of feature vectors respectively corresponding to the output values; and predicting the progress of the cerebral disease by inputting the feature vectors to at least one diagnosis model pre-trained to identify different cerebral diseases.
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Inventors:
KIM HAN SUK (KR)
YU YOUNG SUNG (KR)
GIRISH SRINIVASAN (US)
PI JAE WOO (KR)
NIKITA THOMAS (US)
YU YOUNG SUNG (KR)
GIRISH SRINIVASAN (US)
PI JAE WOO (KR)
NIKITA THOMAS (US)
Application Number:
PCT/KR2021/018190
Publication Date:
June 01, 2023
Filing Date:
December 03, 2021
Export Citation:
Assignee:
PHENOMX INC (KR)
International Classes:
A61B5/055; A61B5/00; A61B6/00; A61B6/03; G16H50/20
Foreign References:
| KR20210056386A | 2021-05-18 |
Other References:
ZHOU TAO, THUNG KIM‐HAN, ZHU XIAOFENG, SHEN DINGGANG: "Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis", HUMAN BRAIN MAPPING, vol. 40, no. 3, 15 February 2019 (2019-02-15), pages 1001 - 1016, XP093068366, ISSN: 1065-9471, DOI: 10.1002/hbm.24428
VENUGOPALAN JANANI, TONG LI, HASSANZADEH HAMID REZA, WANG MAY D.: "Multimodal deep learning models for early detection of Alzheimer’s disease stage", SCIENTIFIC REPORTS, vol. 11, no. 1, 1 January 2021 (2021-01-01), pages 1 - 13, XP093068369, DOI: 10.1038/s41598-020-74399-w
CARNEVALE LORENZO, LEMBO GIUSEPPE: "Innovative MRI Techniques in Neuroimaging Approaches for Cerebrovascular Diseases and Vascular Cognitive Impairment", INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, vol. 20, no. 11, 1 January 2019 (2019-01-01), pages 1 - 15, XP093068370, DOI: 10.3390/ijms20112656
KROLL HANNES, ZAHARCHUK GREG, CHRISTEN THOMAS, HEIT JEREMY J., IV MICHAEL: "Resting-State BOLD MRI for Perfusion and Ischemia", TOPICS IN MAGNETICS RESONANCE IMAGING, vol. 26, no. 2, 1 April 2017 (2017-04-01), US , pages 1 - 24, XP093068373, ISSN: 0899-3459, DOI: 10.1097/RMR.0000000000000119
VENUGOPALAN JANANI, TONG LI, HASSANZADEH HAMID REZA, WANG MAY D.: "Multimodal deep learning models for early detection of Alzheimer’s disease stage", SCIENTIFIC REPORTS, vol. 11, no. 1, 1 January 2021 (2021-01-01), pages 1 - 13, XP093068369, DOI: 10.1038/s41598-020-74399-w
CARNEVALE LORENZO, LEMBO GIUSEPPE: "Innovative MRI Techniques in Neuroimaging Approaches for Cerebrovascular Diseases and Vascular Cognitive Impairment", INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, vol. 20, no. 11, 1 January 2019 (2019-01-01), pages 1 - 15, XP093068370, DOI: 10.3390/ijms20112656
KROLL HANNES, ZAHARCHUK GREG, CHRISTEN THOMAS, HEIT JEREMY J., IV MICHAEL: "Resting-State BOLD MRI for Perfusion and Ischemia", TOPICS IN MAGNETICS RESONANCE IMAGING, vol. 26, no. 2, 1 April 2017 (2017-04-01), US , pages 1 - 24, XP093068373, ISSN: 0899-3459, DOI: 10.1097/RMR.0000000000000119
Attorney, Agent or Firm:
HAEUM PATENT & LAW FIRM (KR)
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