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6 december 2023 07.49.53 +0800, Albert Yang:

Ändrade titel till Brain FDG-PET/MR Image Database at Taipei Veterans General Hospital (tidigare 台北榮總腦部FDG-PET/MR影像資料庫)

Ändrade författare av Brain FDG-PET/MR Image Database at Taipei Veterans General Hospital till Jung-ling Fuh, MD (tidigare 傅中玲主任)

Uppdaterade beskrivningen av Brain FDG-PET/MR Image Database at Taipei Veterans General Hospital från
葡萄糖正子攝影(FDG-PET) 為目前臨床上失智症(AD)診斷的利器之一。而MR影像無放射性且具有高對比成像，在臨床上的可近性高。因此本資料集擬以FDG-PET影像作為評估AD的 Ground Truth，用於發展以MR影像來預測AD患者。此一資料集包含AD群組及對照組(Healthy Group)，影像診斷組別之判定係神經內科專科醫師依據臨床相關資訊所做之綜合判定。每組資料皆包含一組 MRI T1影像與一組FDG-PET影像，影像格式為DICOM且所有影像皆已進行匿名化處理。欲取得相關資料集資料文件，請與管理者聯繫。
till
Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is currently one of the powerful tools for the clinical diagnosis of dementia (AD). Meanwhile, MR imaging, being non-radioactive and having high contrast resolution, is highly accessible in clinical settings. Therefore, this dataset intends to use FDG-PET images as the Ground Truth for evaluating AD, for the development of predicting AD patients using MR images. This 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. Each 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. To obtain the clinical information and related documentation, please contact the administrator.

Ändrade licens för Brain FDG-PET/MR Image Database at Taipei Veterans General Hospital till Creative Commons Attribution (tidigare Other (Open))

Lade till resursen PETMR_HC.zip till Brain FDG-PET/MR Image Database at Taipei Veterans General Hospital

Lade till resursen PETMR_AD.zip till Brain FDG-PET/MR Image Database at Taipei Veterans General Hospital

              
    
          
          
        
        
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            n 2   "author": "\u5085\u4e2d\u73b2 \u4e3b\u4efb", n 2   "author": "Jung-ling Fuh, MD",
            3   "author_email": "wkni2022@gmail.com", 3   "author_email": "wkni2022@gmail.com",
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            10   "license_title": "Other (Open)", 10   "license_title": "Creative Commons Attribution",
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            11   "maintainer": "nena", 12   "maintainer": "nena",
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            15   "name": "petmri", 16   "name": "petmri",
            n 16   "notes": "\u8461\u8404\u7cd6\u6b63\u5b50\u651d\u5f71(FDG-PET)  n 17   "notes": "Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) 
            17 9\u96c6\u64ec\u4ee5FDG-PET\u5f71\u50cf\u4f5c\u70ba\u8a55\u4f30AD\u7684  18 is currently one of the powerful tools for the clinical diagnosis of 
            18 Ground  19 dementia (AD). Meanwhile, MR imaging, being non-radioactive and having 
            19 \u6599\u96c6\u5305\u542bAD\u7fa4\u7d44\u53ca\u5c0d\u7167\u7d44(Healthy  20 high contrast resolution, is highly accessible in clinical settings. 
            20 \u5b9a\u3002\r\n\u6bcf\u7d44\u8cc7\u6599\u7686\u5305\u542b\u4e00\u7d44  21 Therefore, this dataset intends to use FDG-PET images as the Ground 
            21 MRI  22 Truth for evaluating AD, for the development of predicting AD patients 
            22 99\u6587\u4ef6\uff0c\u8acb\u8207\u7ba1\u7406\u8005\u806f\u7e6b\u3002", 23 using MR images.\r\n\r\nThis dataset includes an AD group and a 
            24 control group (Healthy Group). The determination of the image 
            25 diagnosis group is made by neurology specialists based on 
            26 comprehensive judgment using clinically relevant information.\r\nEach 
            27 set of data contains one set of MRI T1 images and one set of FDG-PET 
            28 images. The image format is DICOM, and all images have been 
            29 anonymized.\r\n\r\nTo obtain the clinical information and related 
            30 documentation, please contact the administrator.",
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            34     "title": "Taipei Veterans General Hospital", 42     "title": "Taipei Veterans General Hospital",
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            66   ], 124   ],
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            68   "tags": [ 126   "tags": [
            69     { 127     {
            70       "display_name": "FDG-PET", 128       "display_name": "FDG-PET",
            71       "id": "cb28ea61-db49-4fa3-9419-e6db3dd2b836", 129       "id": "cb28ea61-db49-4fa3-9419-e6db3dd2b836",
            72       "name": "FDG-PET", 130       "name": "FDG-PET",
            73       "state": "active", 131       "state": "active",
            74       "vocabulary_id": null 132       "vocabulary_id": null
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            78       "id": "6157f878-534c-4078-bc81-3a70e98fa4d4", 136       "id": "6157f878-534c-4078-bc81-3a70e98fa4d4",
            79       "name": "PET_MR", 137       "name": "PET_MR",
            80       "state": "active", 138       "state": "active",
            81       "vocabulary_id": null 139       "vocabulary_id": null
            82     }, 140     },
            83     { 141     {
            84       "display_name": "T1-Weighted MR image", 142       "display_name": "T1-Weighted MR image",
            85       "id": "740131d3-caa6-419d-8c2c-bedfb3475d4c", 143       "id": "740131d3-caa6-419d-8c2c-bedfb3475d4c",
            86       "name": "T1-Weighted MR image", 144       "name": "T1-Weighted MR image",
            87       "state": "active", 145       "state": "active",
            88       "vocabulary_id": null 146       "vocabulary_id": null
            89     } 147     }
            90   ], 148   ],
            t 91   "title":  t 149   "title": "Brain FDG-PET/MR Image Database at Taipei Veterans General 
            92 5317\u69ae\u7e3d\u8166\u90e8FDG-PET/MR\u5f71\u50cf\u8cc7\u6599\u5eab", 150 Hospital",
            93   "type": "dataset", 151   "type": "dataset",
            94   "url": "", 152   "url": "",
            95   "version": "" 153   "version": ""
            96 } 154 }