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公开(公告)号:US20240341701A1
公开(公告)日:2024-10-17
申请号:US18493080
申请日:2023-10-24
发明人: Syu-Jyun PENG , Tse-Hao LEE , Jong-Ling FUH
CPC分类号: A61B6/037 , A61B5/055 , A61B5/4088 , G01N33/6896
摘要: An operation method of a brain amyloid PET processing system includes steps as follows. The whole brain white matter amyloid PET image is extracted from the smoothed amyloid PET image in the range of the whole brain white matter mask of the normalized brain space, and the uptake value with the preset maximum ratio in the whole brain white matter amyloid PET image is calculated; in the smoothed amyloid PET image of the normalized brain space, one or more voxels in the range of the whole brain gray matter mask are marked and counted, in which each voxel uptake value of the one or more voxels is greater than the uptake value of the preset maximum ratio of the whole brain white matter amyloid PET image, and the one or more voxels are used for interpretation training and test of the classification of the machine learning.
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公开(公告)号:US20220398732A1
公开(公告)日:2022-12-15
申请号:US17452238
申请日:2021-10-26
发明人: Syu-Jyun PENG , Hsiang-Yu YU , Yen-Cheng SHIH , Tse-Hao LEE
摘要: The present disclosure provides an operation method of a PET (positron emission tomography) quantitative localization system, which includes steps as follows. The PET image and the MRI (magnetic resonance imaging) of the patient are acquired; the nonlinear deformation is performed on the MRI and the T1 template to generate deformation information parameters; the AAL (automated anatomical labeling) atlas is deformed to an individual brain space of the patient, so as to generate an individual brain space AAL atlas, where the AAL atlas and the T1 template are in a same space; lateralization indexes of the ROIs of the individual brain space AAL atlas corresponding to the PET image normalized through the gray-scale intensity are calculated; the lateralization indexes are inputted into one or more machine learning models to analyze the result of determining a target.
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