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n | "author": "\u5085\u4e2d\u73b2 \u4e3b\u4efb", | n | "author": "Jung-ling Fuh, MD", |
| "author_email": "wkni2022@gmail.com", | | "author_email": "wkni2022@gmail.com", |
| "creator_user_id": "98cd7fde-42e2-499a-9c56-9579d1b21de4", | | "creator_user_id": "98cd7fde-42e2-499a-9c56-9579d1b21de4", |
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| "isopen": true, | | "isopen": true, |
n | "license_id": "other-open", | n | "license_id": "cc-by", |
| "license_title": "Other (Open)", | | "license_title": "Creative Commons Attribution", |
| | | "license_url": "http://www.opendefinition.org/licenses/cc-by", |
| "maintainer": "nena", | | "maintainer": "nena", |
| "maintainer_email": "wkni2022@gmail.com", | | "maintainer_email": "wkni2022@gmail.com", |
| "metadata_created": "2022-07-20T08:18:25.393908", | | "metadata_created": "2022-07-20T08:18:25.393908", |
n | "metadata_modified": "2023-07-13T05:48:54.284236", | n | "metadata_modified": "2023-12-05T23:49:53.315027", |
| "name": "petmri", | | "name": "petmri", |
n | "notes": "\u8461\u8404\u7cd6\u6b63\u5b50\u651d\u5f71(FDG-PET) | n | "notes": "Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) |
| 9\u96c6\u64ec\u4ee5FDG-PET\u5f71\u50cf\u4f5c\u70ba\u8a55\u4f30AD\u7684 | | is currently one of the powerful tools for the clinical diagnosis of |
| Ground | | dementia (AD). Meanwhile, MR imaging, being non-radioactive and having |
| \u6599\u96c6\u5305\u542bAD\u7fa4\u7d44\u53ca\u5c0d\u7167\u7d44(Healthy | | high contrast resolution, is highly accessible in clinical settings. |
| \u5b9a\u3002\r\n\u6bcf\u7d44\u8cc7\u6599\u7686\u5305\u542b\u4e00\u7d44 | | Therefore, this dataset intends to use FDG-PET images as the Ground |
| MRI | | Truth for evaluating AD, for the development of predicting AD patients |
| 99\u6587\u4ef6\uff0c\u8acb\u8207\u7ba1\u7406\u8005\u806f\u7e6b\u3002", | | using MR images.\r\n\r\nThis dataset includes an AD group and a |
| | | control group (Healthy Group). The determination of the image |
| | | diagnosis group is made by neurology specialists based on |
| | | comprehensive judgment using clinically relevant information.\r\nEach |
| | | set of data contains one set of MRI T1 images and one set of FDG-PET |
| | | images. The image format is DICOM, and all images have been |
| | | anonymized.\r\n\r\nTo obtain the clinical information and related |
| | | documentation, please contact the administrator.", |
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| "approval_status": "approved", | | "approval_status": "approved", |
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| "state": "active", | | "state": "active", |
| "title": "Taipei Veterans General Hospital", | | "title": "Taipei Veterans General Hospital", |
| "type": "organization" | | "type": "organization" |
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| "state": "active", | | "state": "active", |
| "tags": [ | | "tags": [ |
| { | | { |
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| { | | { |
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| "state": "active", | | "state": "active", |
| "vocabulary_id": null | | "vocabulary_id": null |
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| { | | { |
| "display_name": "T1-Weighted MR image", | | "display_name": "T1-Weighted MR image", |
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t | "title": | t | "title": "Brain FDG-PET/MR Image Database at Taipei Veterans General |
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| "type": "dataset", | | "type": "dataset", |
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| "version": "" | | "version": "" |
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