Changes
On October 1, 2024 at 3:36:11 PM +0800, Nena Tin:
-
Set author email of Brain FDG-PET/MR Image Database to stellafuh@gmail.com (previously wkni2022@gmail.com)
f | 1 | { | f | 1 | { |
2 | "author": "Jung-ling Fuh, MD", | 2 | "author": "Jung-ling Fuh, MD", | ||
n | 3 | "author_email": "wkni2022@gmail.com", | n | 3 | "author_email": "stellafuh@gmail.com", |
4 | "creator_user_id": "98cd7fde-42e2-499a-9c56-9579d1b21de4", | 4 | "creator_user_id": "98cd7fde-42e2-499a-9c56-9579d1b21de4", | ||
5 | "extras": [], | 5 | "extras": [], | ||
6 | "groups": [ | 6 | "groups": [ | ||
7 | { | 7 | { | ||
8 | "description": "", | 8 | "description": "", | ||
9 | "display_name": "Brain Image", | 9 | "display_name": "Brain Image", | ||
10 | "id": "9765d9ee-aa92-4df1-a4e8-449093b96e9d", | 10 | "id": "9765d9ee-aa92-4df1-a4e8-449093b96e9d", | ||
11 | "image_display_url": | 11 | "image_display_url": | ||
12 | ps://data.dmc.nycu.edu.tw/uploads/group/2022-05-20-061942.864108.png", | 12 | ps://data.dmc.nycu.edu.tw/uploads/group/2022-05-20-061942.864108.png", | ||
13 | "name": "brain-image", | 13 | "name": "brain-image", | ||
14 | "title": "Brain Image" | 14 | "title": "Brain Image" | ||
15 | }, | 15 | }, | ||
16 | { | 16 | { | ||
17 | "description": "", | 17 | "description": "", | ||
18 | "display_name": "Medical Image", | 18 | "display_name": "Medical Image", | ||
19 | "id": "43994d1e-5618-4387-926c-06a6b90e1bff", | 19 | "id": "43994d1e-5618-4387-926c-06a6b90e1bff", | ||
20 | "image_display_url": | 20 | "image_display_url": | ||
21 | ps://data.dmc.nycu.edu.tw/uploads/group/2022-05-20-061643.512798.png", | 21 | ps://data.dmc.nycu.edu.tw/uploads/group/2022-05-20-061643.512798.png", | ||
22 | "name": "medical-image", | 22 | "name": "medical-image", | ||
23 | "title": "Medical Image" | 23 | "title": "Medical Image" | ||
24 | } | 24 | } | ||
25 | ], | 25 | ], | ||
26 | "id": "4b870627-641d-4f07-8a01-42f98181548e", | 26 | "id": "4b870627-641d-4f07-8a01-42f98181548e", | ||
27 | "isopen": true, | 27 | "isopen": true, | ||
28 | "license_id": "cc-by", | 28 | "license_id": "cc-by", | ||
29 | "license_title": "Creative Commons Attribution", | 29 | "license_title": "Creative Commons Attribution", | ||
30 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 30 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
31 | "maintainer": "nena", | 31 | "maintainer": "nena", | ||
32 | "maintainer_email": "wkni2022@gmail.com", | 32 | "maintainer_email": "wkni2022@gmail.com", | ||
33 | "metadata_created": "2022-07-20T08:18:25.393908", | 33 | "metadata_created": "2022-07-20T08:18:25.393908", | ||
t | 34 | "metadata_modified": "2024-06-22T14:22:14.026156", | t | 34 | "metadata_modified": "2024-10-01T07:36:11.852612", |
35 | "name": "petmri", | 35 | "name": "petmri", | ||
36 | "notes": "Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) | 36 | "notes": "Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) | ||
37 | is currently one of the powerful tools for the clinical diagnosis of | 37 | is currently one of the powerful tools for the clinical diagnosis of | ||
38 | dementia such as Alzheimer's Disease (AD). Meanwhile, MR imaging, | 38 | dementia such as Alzheimer's Disease (AD). Meanwhile, MR imaging, | ||
39 | being non-radioactive and having high contrast resolution, is highly | 39 | being non-radioactive and having high contrast resolution, is highly | ||
40 | accessible in clinical settings. Therefore, this dataset intends to | 40 | accessible in clinical settings. Therefore, this dataset intends to | ||
41 | use FDG-PET images as the Ground Truth for evaluating AD, for the | 41 | use FDG-PET images as the Ground Truth for evaluating AD, for the | ||
42 | development of predicting AD patients using MR images.\r\n\r\nThis | 42 | development of predicting AD patients using MR images.\r\n\r\nThis | ||
43 | dataset includes an AD group and a control group (Healthy Group). The | 43 | dataset includes an AD group and a control group (Healthy Group). The | ||
44 | determination of the image diagnosis group is made by neurology | 44 | determination of the image diagnosis group is made by neurology | ||
45 | specialists based on comprehensive judgment using clinically relevant | 45 | specialists based on comprehensive judgment using clinically relevant | ||
46 | information.\r\nEach set of data contains one set of MRI T1 images and | 46 | information.\r\nEach set of data contains one set of MRI T1 images and | ||
47 | one set of FDG-PET images. The image format is DICOM, and all images | 47 | one set of FDG-PET images. The image format is DICOM, and all images | ||
48 | have been anonymized.\r\n\r\nTo obtain the clinical information and | 48 | have been anonymized.\r\n\r\nTo obtain the clinical information and | ||
49 | related documentation, please contact the administrator.", | 49 | related documentation, please contact the administrator.", | ||
50 | "num_resources": 3, | 50 | "num_resources": 3, | ||
51 | "num_tags": 3, | 51 | "num_tags": 3, | ||
52 | "organization": { | 52 | "organization": { | ||
53 | "approval_status": "approved", | 53 | "approval_status": "approved", | ||
54 | "created": "2022-05-20T15:43:19.080718", | 54 | "created": "2022-05-20T15:43:19.080718", | ||
55 | "description": "The Taipei Veterans General Hospital (Chinese: | 55 | "description": "The Taipei Veterans General Hospital (Chinese: | ||
56 | \u53f0\u5317\u69ae\u6c11\u7e3d\u91ab\u9662) is a premier national | 56 | \u53f0\u5317\u69ae\u6c11\u7e3d\u91ab\u9662) is a premier national | ||
57 | medical center and a teaching hospital in Taiwan, offering tertiary | 57 | medical center and a teaching hospital in Taiwan, offering tertiary | ||
58 | patient care, undergraduate medical education programs, and residency | 58 | patient care, undergraduate medical education programs, and residency | ||
59 | programs. Established in 1958, it operates under the administration of | 59 | programs. Established in 1958, it operates under the administration of | ||
60 | the Veterans Affairs Council. Located in the Beitou District of | 60 | the Veterans Affairs Council. Located in the Beitou District of | ||
61 | Taipei, the hospital primarily serves patients from the metropolitan | 61 | Taipei, the hospital primarily serves patients from the metropolitan | ||
62 | Taipei area and throughout all regions of Taiwan.", | 62 | Taipei area and throughout all regions of Taiwan.", | ||
63 | "id": "25188a0c-7f13-4562-a5e2-042df726de3c", | 63 | "id": "25188a0c-7f13-4562-a5e2-042df726de3c", | ||
64 | "image_url": "2022-05-20-074319.065617vghtpelogo.png", | 64 | "image_url": "2022-05-20-074319.065617vghtpelogo.png", | ||
65 | "is_organization": true, | 65 | "is_organization": true, | ||
66 | "name": "taipei-veterans-general-hospital", | 66 | "name": "taipei-veterans-general-hospital", | ||
67 | "state": "active", | 67 | "state": "active", | ||
68 | "title": "Taipei Veterans General Hospital", | 68 | "title": "Taipei Veterans General Hospital", | ||
69 | "type": "organization" | 69 | "type": "organization" | ||
70 | }, | 70 | }, | ||
71 | "owner_org": "25188a0c-7f13-4562-a5e2-042df726de3c", | 71 | "owner_org": "25188a0c-7f13-4562-a5e2-042df726de3c", | ||
72 | "private": false, | 72 | "private": false, | ||
73 | "relationships_as_object": [], | 73 | "relationships_as_object": [], | ||
74 | "relationships_as_subject": [], | 74 | "relationships_as_subject": [], | ||
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149 | } | 149 | } | ||
150 | ], | 150 | ], | ||
151 | "state": "active", | 151 | "state": "active", | ||
152 | "tags": [ | 152 | "tags": [ | ||
153 | { | 153 | { | ||
154 | "display_name": "FDG-PET", | 154 | "display_name": "FDG-PET", | ||
155 | "id": "cb28ea61-db49-4fa3-9419-e6db3dd2b836", | 155 | "id": "cb28ea61-db49-4fa3-9419-e6db3dd2b836", | ||
156 | "name": "FDG-PET", | 156 | "name": "FDG-PET", | ||
157 | "state": "active", | 157 | "state": "active", | ||
158 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
159 | }, | 159 | }, | ||
160 | { | 160 | { | ||
161 | "display_name": "PET_MR", | 161 | "display_name": "PET_MR", | ||
162 | "id": "6157f878-534c-4078-bc81-3a70e98fa4d4", | 162 | "id": "6157f878-534c-4078-bc81-3a70e98fa4d4", | ||
163 | "name": "PET_MR", | 163 | "name": "PET_MR", | ||
164 | "state": "active", | 164 | "state": "active", | ||
165 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
166 | }, | 166 | }, | ||
167 | { | 167 | { | ||
168 | "display_name": "T1-Weighted MR image", | 168 | "display_name": "T1-Weighted MR image", | ||
169 | "id": "740131d3-caa6-419d-8c2c-bedfb3475d4c", | 169 | "id": "740131d3-caa6-419d-8c2c-bedfb3475d4c", | ||
170 | "name": "T1-Weighted MR image", | 170 | "name": "T1-Weighted MR image", | ||
171 | "state": "active", | 171 | "state": "active", | ||
172 | "vocabulary_id": null | 172 | "vocabulary_id": null | ||
173 | } | 173 | } | ||
174 | ], | 174 | ], | ||
175 | "title": "Brain FDG-PET/MR Image Database", | 175 | "title": "Brain FDG-PET/MR Image Database", | ||
176 | "type": "dataset", | 176 | "type": "dataset", | ||
177 | "url": "", | 177 | "url": "", | ||
178 | "version": "" | 178 | "version": "" | ||
179 | } | 179 | } |