Update translations from SlicerLanguageTranslations

Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_zh_Hant.json

@@ -0,0 +1,49 @@
+{
+  "0_TextBox_0": "Slicer Welcome",
+  "0_TextBox_1": "Sonia Pujol, Ph.D.",
+  "0_TextBox_3": "Assistant Professor of Radiology\n\nBrigham and Women’s Hospital\n\nHarvard Medical School\n",
+  "1_Goal_title": "Goal",
+  "1_Goal_body": "This tutorial is a short introduction to the Welcome module of the Slicer open-source software.",
+  "2_TextBox_0": "Slicer5 Basics",
+  "3_TextBox_0": "Slicer5 Basics",
+  "2_TextBox_1": "*Slicer is an open-source software for segmentation, registration and visualization of medical imaging data.\n*The platform is developed through a multi-institution effort of several NIH funded large-scale consortia.\n*Slicer is for medical research only, and is not FDA approved. ",
+  "3_TextBox_1": "3D Slicer 5 version 5.10.0 includes over 100 modules and more than 190 extensions for image segmentation, registration and 3D visualization of medical imaging data.",
+  "4_TextBox_0": "Supported Platforms",
+  "4_TextBox_1": "*Slicer is a multi-platform software developed and maintained on Mac OSX, Linux and Windows.\n\n*Slicer requires a minimum of 2 GB of RAM and a dedicated graphic accelerator with 64 MB of on-board graphic memory. ",
+  "5_WelcometoSlicer_title": "Welcome to Slicer",
+  "5_TextBox_1": "Each module of Slicer includes a series of tabs, which give access to different functionalities.\n\nClick on the arrow symbol to display the content of each tab. ",
+  "6_SlicerUserInterface_title": "Slicer User Interface",
+  "6_ArrowText_0": "Toolbar",
+  "6_TextBox_1": "3D viewer",
+  "6_TextBox_3": "User Interface (UI) panel of the Slicer Welcome Module",
+  "6_TextBox_5": "Data probe",
+  "6_ArrowText_6": "2D anatomical viewers",
+  "7_WelcomeModule_title": "Welcome Module",
+  "8_WelcomeModule_title": "Welcome Module",
+  "12_WelcomeModule_title": "Welcome Module",
+  "7_TextBox_1": "The Documentation & Tutorials tab contains links to the training compendium and documentation pages of 3D Slicer.",
+  "8_TextBox_0": "The Welcome module panel contains shortcuts for loading different types of data. A series of sample data are also available.\n\nClick on Download Sample Data to access the Sample Data Module",
+  "9_SampleData_title": "Sample Data",
+  "10_SampleData_title": "Sample Data",
+  "11_SampleData_title": "Sample Data",
+  "9_TextBox_1": "The Sample Data module contains links to different sample datasets that can be downloaded into Slicer.",
+  "10_TextBox_0": "Brain MR",
+  "10_TextBox_1": "Chest CT",
+  "10_TextBox_2": "Cardiac CT",
+  "10_TextBox_3": "Diffusion Tensor Imaging (DTI) Dataset",
+  "10_TextBox_4": "Brain MRI (tumor patient)",
+  "11_ArrowText_0": "Click on MRHead to download the\ndataset in Slicer.",
+  "12_TextBox_0": "The MR scan of the brain appears\nin the 2D viewers.",
+  "13_MRBrainSampleDataset_title": "MR Brain Sample Dataset",
+  "14_MRBrainSampleDataset_title": "MR Brain Sample Dataset",
+  "15_MRBrainSampleDataset_title": "MR Brain Sample Dataset",
+  "13_TextBox_0": "Position the mouse on the little pin icon in the top left corner of the red viewer to display the viewer menu",
+  "14_TextBox_1": "Click on the link icon to link all three 2D viewers, and on the eye icon next to it\nto display the slices in the 3D viewer",
+  "15_TextBox_0": "The axial, coronal and sagittal slices appear in the 3D viewer.\nGo back to the Welcome module using the green arrow in the toolbar",
+  "16_GoingFurther_title": "Going Further",
+  "17_TextBox_0": "Going Further",
+  "16_TextBox_0": "To learn more about Slicer and its different functionalities, visit the Slicer Compendium",
+  "17_TextBox_1": "https://training.slicer.org/",
+  "18_TextBox_0": "Acknowledgements",
+  "18_TextBox_1": "National Alliance for Medical Image\nComputing\nNIH U54EB005149\n\nNeuroimage Analysis Center\nNIH P41EB015902\n\nChan Zuckerberg Initiative (CZI)"
+}

Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_zh-Hant.json

@@ -42,8 +42,8 @@
   "27_TextBox_1": "Select the model Whole Body Segmentation TS1-quick",
   "28_TextBox_0": "Select the input Volume 6:CT_Thorax_Abdomen,\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation",
   "29_TextBox_0": "Slicer displays the results of the AI-based segmentation using the Whole Body Segmentation TS1-quick",
-  "30_TextBox_0": "Conclusion",
+  "30_TextBox_0": "結論",
   "30_TextBox_1": "The 3D Slicer MONAIAuto3DSeg extension provides fast AI-based segmentation of anatomical and pathological structures.\n\n\nThe module can run on standard laptop and desktop computers with no GPU.",
-  "31_TextBox_0": "Acknowledgements",
+  "31_TextBox_0": "致謝",
   "31_TextBox_1": "The 3D Slicer internationalization project and the 3D Slicer for Latin America project have been made possible through funding by the Chan Zuckerberg Initiative."
 }

Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_zh_Hant.json

@@ -0,0 +1,99 @@
+{
+  "0_TextBox_0": "3D Slicer 中資料載入與 3D 可視化的基礎知識",
+  "0_TextBox_1": "作者：索尼亞・普霍爾 博士",
+  "0_TextBox_2": "2024年11月24日",
+  "0_TextBox_3": "哈佛醫學院布里格姆婦女醫院放射科助理教授",
+  "1_TextBox_0": "總體目標",
+  "1_TextBox_1": "本教學旨在介紹在 3D Slicer 中載入及檢視 DICOM 影像與 3D 模型的基本操作。",
+  "2_TextBox_0": "學習目標",
+  "2_TextBox_1": " • 完成本教學後，您將能夠\n\n• 在 Slicer 中載入並檢視 DICOM 影像\n\n• 對 CT 資料進行體積渲染\n\n• 載入並檢視由 MRI 資料重建的 3D 模型",
+  "3_TextBox_0": "教學材料",
+  "3_TextBox_1": "• 3D Slicer 5.10 版\n\n•  3D VisualizationDataSet.zip",
+  "4_TextBox_0": "資料集教學",
+  "33_TextBox_0": "資料集教學",
+  "4_TextBox_1": "檔案 3DVisualizationDataset.zip 包含兩個資料夾：\n\n- dataset1_Thorax_Abdomen \n- dataset2_Head\n\n請在您的電腦上解壓縮檔案 3DVisualizationDataset.zip，即可存取這些資料集",
+  "5_TextBox_0": "免責聲明",
+  "5_TextBox_1": "• 3D Slicer 是一款依據 BSD 風格授權條款發行的免費開源軟體應用程式。\n\n\n• 該軟體未經美國食品藥物管理局（FDA）核准，亦未取得 CE 標誌，僅供研究用途。\n",
+  "6_TextBox_0": "教學大綱",
+  "6_TextBox_1": "•  第 1 部分：載入與檢視 DICOM 資料\n\n•  第 2 部分：體積渲染\n\n\n• 第 3 部分：載入與檢視 3D 模型",
+  "7_TextBox_0": "第 1 部分：DICOM 資料載入",
+  "8_LoadingaDICOMvolume_title": "載入 DICOM 影像集",
+  "9_LoadingaDICOMvolume_title": "載入 DICOM 影像集",
+  "8_TextBox_0": "Slicer 顯示 DICOM 模組的使用者介面",
+  "8_TextBox_1": "患者 1 的研究包含一套胸部與腹部電腦斷層掃描資料集",
+  "9_ArrowText_1": "選取「patient1」，然後點擊「載入」\n以將資料集載入 Slicer 中",
+  "10_VisualizingDICOMimages_title": "DICOM 影像的可視化",
+  "11_VisualizingDICOMimages_title": "DICOM 影像的可視化",
+  "12_VisualizingDICOMimages_title": "DICOM 影像的可視化",
+  "13_VisualizingDICOMimages_title": "DICOM 影像的可視化",
+  "14_VisualizingDICOMimages_title": "DICOM 影像的可視化",
+  "15_VisualizingDICOMimages_title": "DICOM 影像的可視化",
+  "16_VisualizingDICOMimages_title": "DICOM 影像的可視化",
+  "17_VisualizingDICOMimages_title": "DICOM 影像的可視化",
+  "18_VisualizingDICOMimages_title": "DICOM 影像的可視化",
+  "10_TextBox_0": "Slicer 顯示 CT \n「胸腹部」資料集的軸向、冠狀面\n及矢狀面影像",
+  "11_ArrowText_1": "左鍵點擊 DICOM 以顯示\nSlicer 的模組清單",
+  "11_ArrowText_2": "選擇模組\n卷",
+  "12_ArrowText_0": "點擊「腹部 CT」\n預設值，即可自動調整\n該 CT 資料集的\n窗寬/層高顯示",
+  "13_TextBox_1": "將滑鼠游標\n移至「紅色檢視器」中的\n紅色橫幅上，即可顯示\n切片選單。\n\n\n點擊「連結」圖示，以將\n所有「切片檢視器」中的\n切片控制項相互連結。\n\n\n點擊「眼睛」圖示，\n在 3D 檢視器中顯示\n三個解剖切片",
+  "14_TextBox_0": "這三個解剖切面\n出現在 3D 檢視器中。",
+  "15_ArrowText_0": "點擊「切片器佈局」選單\n圖示，然後選擇\n「傳統寬螢幕」佈局",
+  "16_TextBox_0": "Slicer 將佈局切換為\n傳統\n寬螢幕佈局",
+  "17_TextBox_0": "在 \n3D 檢視器中使用滑鼠右鍵來放大或縮小",
+  "18_TextBox_0": "在 \n3D 檢視器中使用滑鼠左鍵來旋轉影像",
+  "19_3DViewerController_title": "3D 檢視器控制器",
+  "20_3DViewerController_title": "3D 檢視器控制器",
+  "19_TextBox_1": "將滑鼠游標懸停於\n3D 檢視器視窗藍色橫幅中的\n圖釘圖示上，以\n顯示 3DView 控制面板\n\n點擊 3DView \n控制面板頂部一排中的\n第二個圖示，將 3D 視圖\n對準場景中心",
+  "20_ArrowText_1": "在模組清單中選取「體積渲染」\n模組",
+  "21_TextBox_0": "第 2 部分：體積渲染",
+  "22_TextBox_0": "體積渲染",
+  "23_VolumeRendering_title": "體積渲染",
+  "24_VolumeRendering_title": "體積渲染",
+  "25_VolumeRendering_title": "體積渲染",
+  "26_VolumeRendering_title": "體積渲染",
+  "27_VolumeRendering_title": "體積渲染",
+  "28_VolumeRendering_title": "體積渲染",
+  "29_VolumeRendering_title": "體積渲染",
+  "30_VolumeRendering_title": "體積渲染",
+  "31_VolumeRendering_title": "體積渲染",
+  "22_TextBox_1": "• 體積渲染\n技術可實現 3D\n資料集的\n3D 可視化\n\n• Slicer 中的體積渲染\n模組可實現\nDICOM 影像的\n互動式 3D 可視化",
+  "23_ArrowText_0": "在「顯示」標籤頁中點選「預設值」\n並選擇預設值「CT-Cardiac3」",
+  "24_TextBox_2": "選擇 VTK GPU 光線投射渲染\n點擊「體積」分頁中的眼睛圖示，即可在 \n3D 檢視器中顯示體積渲染圖像",
+  "25_ArrowText_0": "使用位移滑桿來\n變更傳遞\n函數，並顯示\n主動脈",
+  "26_ArrowText_0": "點擊「顯示 ROI」以 \n在 3D 檢視器中顯示 \n感興趣區域 \n(ROI)，並 \n勾選「啟用」選項",
+  "27_TextBox_0": "在 2D 檢視器中關閉 \n軸向、矢狀面及冠狀面 \n切片的顯示 \n\n\n使用顏色 \n控制點，將 ROI 定位於 \n左腎周圍",
+  "28_ArrowText_0": "點擊眼睛圖示以\n顯示體積渲染\n影像",
+  "29_TextBox_0": "Slicer 顯示了\n左腎的\n體積渲染\n影像",
+  "30_TextBox_0": "將 ROI 範圍擴大，以生成 \n右腎的 \n體積渲染影像",
+  "31_ArrowText_1": "在主選單中，點選「檔案」，然後點選「關閉場景」",
+  "32_TextBox_0": "第 3 部分：載入與\n檢視 3D 模型\n",
+  "33_TextBox_1": "• 目錄 dataset2_Head 包含名為 Head_scene.mrb 的 Slicer 場景\n\n• 該場景包含由哈佛醫學院布里格姆婦女醫院放射科所開發的 SPL 大腦圖譜中的 3D 模型（NIH P41 RR013218、NIH R01 MH05074）",
+  "34_TextBox_0": "切片器場景",
+  "34_TextBox_1": "Slicer 會將所有載入的資料儲存於一個稱為「場景」的儲存庫中\n\n\n每個資料集（例如影像體、表面模型或點集）在 Slicer 場景中皆以節點的形式呈現。\n\n\n所有 Slicer 模組皆針對儲存於 Slicer 場景中的資料進行操作。",
+  "35_LoadingaScene_title": "載入場景",
+  "35_TextBox_0": "Slicer 會顯示頭部的 3D \n表面模型以及 \n2D MRI 切片",
+  "36_Viewing3Dmodels_title": "檢視 3D 模型",
+  "37_Viewing3Dmodels_title": "檢視 3D 模型",
+  "38_Viewing3Dmodels_title": "檢視 3D 模型",
+  "39_Viewing3Dmodels_title": "檢視 3D 模型",
+  "40_Viewing3Dmodels_title": "檢視 3D 模型",
+  "36_ArrowText_0": "將游標懸停於\n圖釘圖示上以顯示\n切片選單，並點擊\n眼睛圖示以在 3D 檢視器中顯示\n軸向切片",
+  "37_ArrowText_1": "在模型清單中選取「模型」模組",
+  "38_ArrowText_0": "Slicer 會顯示\n載入至\n場景中的\n3D 模型清單\n\n請選取模型 Skin.vtk",
+  "39_ArrowText_0": "使用\n可見度滑桿\n降低\n「皮膚」模型的不透明度",
+  "39_TextBox_1": "顱骨和\n眼球模型\n透過皮膚顯現出來",
+  "40_ArrowText_1": "選取顱骨\n模型，並點擊\n眼睛圖示以關閉其\n可見性",
+  "40_TextBox_2": "白質與\n視神經模型\n透過皮膚顯現出來",
+  "41_Interactingwith3Dmodels_title": "與 3D 模型互動",
+  "42_Interactingwith3Dmodels_title": "與 3D 模型互動",
+  "43_Interactingwith3Dmodels_title": "與 3D 模型互動",
+  "44_Interactingwith3Dmodels_title": "與 3D 模型互動",
+  "41_ArrowText_0": "點擊眼睛圖示以 \n在 3D 檢視器中顯示 \n冠狀切面",
+  "42_ArrowText_2": "選取半球\n白質模型，並\n選取「裁剪」選項",
+  "43_TextBox_0": "將冠狀切面\n向後移動，以顯示\n視交叉",
+  "44_TextBox_0": "Slicer 顯示了\n視神經交叉的 3D 視圖",
+  "45_TextBox_0": "結論",
+  "45_TextBox_1": "• 3D Slicer 提供用於載入及檢視 3D 醫學影像資料的高階功能\n\n• 本教學示範如何運用體積渲染與 3D 表面建模，對 CT 及 MRI 資料進行互動式視覺化呈現\n\n\n聯絡方式：spujol@bwh.harvard.edu",
+  "46_TextBox_0": "致謝",
+  "46_TextBox_1": "神經影像分析中心（NIBIB P41 EB015902）"
+}