脳画像を用いたアルツハイマー病の生物学的分類装置及び方法

Japanese Patent JP7101856

B2

The present disclosure relates to a biological classification device and a method for Alzheimer's disease using a brain image. According to an aspect of the present disclosure, a biological classification device for Alzheimer's disease using a brain image includes an image receiving unit which receives a plurality of images obtained by capturing a brain of a subject; an image processing unit which acquires neurodegeneration feature related to the brain of the subject and SUVR information from the plurality of images; an image analysis unit which performs first determination of whether it is normal or abnormal with respect to cranial nerves based on the neurodegeneration feature and second determination and third determination of whether it is normal or abnormal with respect to beta amyloid protein and tau protein based on the SUVR information; and a classifying unit which performs biological classification of the subject related to the Alzheimer's disease using the first determination, the second determination, and the third determination together.

Park, Sombom
Son, Sufa
No, Young

JP2021187865A

July 15, 2022

November 18, 2021

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Huron Company, Limited
GIL MEDICAL CENTER
Kachon University of Industry-Academic Co-operation Foundation

A61B5/055; A61B10/00; G01T1/161; G06T7/00

JP2020531228A

WO2020218460A1
KR1020160107831A

Seun Jeon et al.,Topographical Heterogeneity of Alzheimer's Disease Based on MR Imaging, Tau PET, and Amyloid PET,Frontiers in Aging Neuroscience,2019年08月20日,11(211),1-10
山尾天翔ほか,[11C]PiBアミロイドPETと[18F]THK5351タウPETに対するCentiloid scaleによる定量的比較,核医学技術,2019年,39(suppl),356

Yoshiyuki Inaba
Toshifumi Onuki
Akihiko Eguchi
Kazuhiko Naito

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