diff --git a/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_en-US.json b/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_en-US.json new file mode 100644 index 00000000..aed6f1de --- /dev/null +++ b/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_en-US.json @@ -0,0 +1,52 @@ +{ + "0_TextBox_0": "Slicer Welcome", + "1_TextBox_0": "Slicer Welcome", + "0_TextBox_1": "Sonia Pujol, Ph.D.", + "1_TextBox_1": "Sonia Pujol, Ph.D.", + "2_Goal_title": "Goal", + "6_WelcometoSlicer_title": "Welcome to Slicer", + "7_SlicerUserInterface_title": "Slicer User Interface", + "7_ArrowText_0": "Toolbar", + "7_TextBox_1": "3D viewer", + "7_ArrowText_6": "2D anatomical viewers", + "7_TextBox_5": "Data probe", + "0_TextBox_3": "Assistant Professor of Radiology\nBrigham and Women’s Hospital\nHarvard Medical School\n", + "1_TextBox_3": "Assistant Professor of Radiology\n\nBrigham and Women’s Hospital\n\nHarvard Medical School\n", + "2_Goal_body": "This tutorial is a short introduction to the Welcome module of the Slicer open-source software.", + "3_TextBox_0": "Slicer5 Basics", + "4_TextBox_0": "Slicer5 Basics", + "3_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. ", + "4_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.", + "5_TextBox_0": "Supported Platforms", + "5_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. ", + "6_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. ", + "7_TextBox_3": "User Interface (UI) panel of the Slicer Welcome Module", + "8_WelcomeModule_title": "Welcome Module", + "9_WelcomeModule_title": "Welcome Module", + "13_WelcomeModule_title": "Welcome Module", + "8_TextBox_1": "The Documentation & Tutorials tab contains links to the training compendium and documentation pages of 3D Slicer.", + "9_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", + "10_SampleData_title": "Sample Data", + "11_SampleData_title": "Sample Data", + "12_SampleData_title": "Sample Data", + "10_TextBox_1": "The Sample Data module contains links to different sample datasets that can be downloaded into Slicer.", + "11_TextBox_0": "Brain MR", + "11_TextBox_1": "Chest CT", + "11_TextBox_2": "Cardiac CT", + "11_TextBox_3": "Diffusion Tensor Imaging (DTI) Dataset", + "11_TextBox_4": "Brain MRI (tumor patient)", + "12_ArrowText_0": "Click on MRHead to download the\ndataset in Slicer.", + "13_TextBox_0": "The MR scan of the brain appears\nin the 2D viewers.", + "14_TextBox_0": "Position the mouse on the little pin icon in the top left corner of the red viewer to display the viewer menu", + "15_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", + "16_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", + "17_GoingFurther_title": "Going Further", + "18_TextBox_0": "Going Further", + "17_TextBox_0": "To learn more about Slicer and its different functionalities, visit the Slicer Compendium", + "18_TextBox_1": "https://training.slicer.org/", + "19_TextBox_1": "National Alliance for Medical Image\nComputing\nNIH U54EB005149\n\nNeuroimage Analysis Center\nNIH P41EB015902\n\nChan Zuckerberg Initiative (CZI)", + "14_MRBrainSampleDataset_title": "MR Brain Sample Dataset", + "15_MRBrainSampleDataset_title": "MR Brain Sample Dataset", + "16_MRBrainSampleDataset_title": "MR Brain Sample Dataset", + "19_TextBox_0": "Acknowledgements" +} \ No newline at end of file diff --git a/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_pt-BR.json b/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_pt-BR.json index f49de4ea..fe8c96fb 100644 --- a/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_pt-BR.json +++ b/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_pt-BR.json @@ -1,52 +1,52 @@ { "0_TextBox_0": "Bem-vindo ao Slicer", "0_TextBox_1": "Sonia Pujol, Ph.D.", - "0_TextBox_3": "Assistant Professor of Radiology\nBrigham and Women’s Hospital\nHarvard Medical School\n", + "0_TextBox_3": "Professor Assistente de Radiologia\nHospital Brigham and Women's\nFaculdade de Medicina de Harvard\n", "1_TextBox_0": "Slicer Welcome", "1_TextBox_1": "Sonia Pujol, Ph.D.", - "1_TextBox_3": "Assistant Professor of Radiology\n\nBrigham and Women’s Hospital\n\nHarvard Medical School\n", - "2_Goal_title": "Goal", - "2_Goal_body": "This tutorial is a short introduction to the Welcome module of the Slicer open-source software.", + "1_TextBox_3": "Professor Assistente de Radiologia\nHospital Brigham and Women's\nFaculdade de Medicina de Harvard\n", + "2_Goal_title": "Objetivo", + "2_Goal_body": "Este tutorial é uma breve introdução ao módulo de boas-vindas do software de código aberto Slicer.", "3_TextBox_0": "Slicer5 Basics", - "3_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. ", - "4_TextBox_0": "Slicer5 Basics", - "4_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.", - "5_TextBox_0": "Supported Platforms", - "5_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. ", - "6_WelcometoSlicer_title": "Welcome to Slicer", - "6_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. ", - "7_SlicerUserInterface_title": "Slicer User Interface", - "7_ArrowText_0": "Toolbar", - "7_TextBox_1": "3D viewer", - "7_TextBox_3": "User Interface (UI) panel of the Slicer Welcome Module", - "7_TextBox_5": "Data probe", - "7_ArrowText_6": "2D anatomical viewers", + "3_TextBox_1": "*Slicer é um software de código aberto para segmentação, registro e visualização de dados de imagens médicas. \n*A plataforma foi desenvolvida por meio de um esforço multi-institucional, com vários consórcios de grande escala financiados pelo NIH.\n*O Slicer destina-se exclusivamente à pesquisa médica e não possui aprovação da FDA. ", + "4_TextBox_0": "Básico do Slicer5", + "4_TextBox_1": "O 3D Slicer 5 versão 5.10.0 inclui mais de 100 módulos e mais de 190 extensões para segmentação de imagens, registro e visualização 3D de dados de imagens médicas.", + "5_TextBox_0": "Plataformas Suportadas", + "5_TextBox_1": "*O Slicer é um software multiplataforma desenvolvido e mantido para Mac OSX, Linux e Windows.\n*O Slicer requer, no mínimo, 2 GB de RAM e uma placa de vídeo dedicada com 64 MB de memória gráfica integrada. ", + "6_WelcometoSlicer_title": "Bem-vindo ao Slicer", + "6_TextBox_1": "Cada módulo do Slicer inclui uma série de abas que dão acesso a diferentes funcionalidades. Clique no símbolo de seta para exibir o conteúdo de cada aba. ", + "7_SlicerUserInterface_title": "Interface do Usuário no Slicer", + "7_ArrowText_0": "Barra de ferramentas", + "7_TextBox_1": "Visualizador 3D", + "7_TextBox_3": "Painel da interface do usuário do módulo de boas-vindas do Slicer", + "7_TextBox_5": "Sonda de dados", + "7_ArrowText_6": "Visualizadores anatômicos 2D", "8_WelcomeModule_title": "Welcome Module", - "8_TextBox_1": "The Documentation & Tutorials tab contains links to the training compendium and documentation pages of 3D Slicer.", + "8_TextBox_1": "A aba Documentação e Tutoriais contém links para o compêndio de treinamento e páginas de documentação do 3D Slicer.", "9_WelcomeModule_title": "Welcome Module", - "9_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_TextBox_0": "O painel do módulo de boas-vindas contém atalhos para carregar diferentes tipos de dados.\nUma série de dados de exemplo também está disponível. \nClique em \"Baixar dados de exemplo\" para acessar o módulo de dados de exemplo.", "10_SampleData_title": "Sample Data", - "10_TextBox_1": "The Sample Data module contains links to different sample datasets that can be downloaded into Slicer.", + "10_TextBox_1": "O módulo Dados de Exemplo contém links para diferentes conjuntos de dados de exemplos que podem ser baixados no Slicer.", "11_SampleData_title": "Sample Data", - "11_TextBox_0": "Brain MR", - "11_TextBox_1": "Chest CT", - "11_TextBox_2": "Cardiac CT", - "11_TextBox_3": "Diffusion Tensor Imaging (DTI) Dataset", - "11_TextBox_4": "Brain MRI (tumor patient)", - "12_SampleData_title": "Sample Data", - "12_ArrowText_0": "Click on MRHead to download the\ndataset in Slicer.", - "13_WelcomeModule_title": "Welcome Module", - "13_TextBox_0": "The MR scan of the brain appears\nin the 2D viewers.", + "11_TextBox_0": "RM Cerebral", + "11_TextBox_1": "TC Peito", + "11_TextBox_2": "TC Cardíaco", + "11_TextBox_3": "Conjunto de dados de imagem por tensor de difusão (DTI)", + "11_TextBox_4": "RM Cerebral (paciente com tumor)", + "12_SampleData_title": "Dados de Exemplo", + "12_ArrowText_0": "Clique em MRHead para baixar o conjunto\nde dados no Slicer.", + "13_WelcomeModule_title": "Modulo de Boas-vindas", + "13_TextBox_0": "A imagem de ressonância magnética\ndo cérebro aparece nos visualizadores 2D.", "14_MRBrainSampleDataset_title": "MR Brain Sample Dataset", - "14_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_0": "Posicione o cursor do mouse sobre o pequeno ícone de alfinete no canto superior esquerdo do visualizador vermelho para exibir o menu do visualizador.", "15_MRBrainSampleDataset_title": "MR Brain Sample Dataset", - "15_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", - "16_MRBrainSampleDataset_title": "MR Brain Sample Dataset", - "16_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", + "15_TextBox_1": "Clique no ícone de link para conectar os três visualizadores 2D e no ícone de olho ao lado\npara exibir as fatias no visualizador 3D.", + "16_MRBrainSampleDataset_title": "RM Cerebral conjunto de dados de exemplo", + "16_TextBox_0": "As imagens axiais, coronais e sagitais são exibidas no visualizador 3D. \nRetorne ao módulo de boas-vindas usando a seta verde na barra de ferramentas.", "17_GoingFurther_title": "Going Further", - "17_TextBox_0": "To learn more about Slicer and its different functionalities, visit the Slicer Compendium", - "18_TextBox_0": "Going Further", + "17_TextBox_0": "Para saber mais sobre o Slicer e suas diferentes funcionalidades, visite o Compêndio do Slicer.", + "18_TextBox_0": "Indo Além", "18_TextBox_1": "https://training.slicer.org/", - "19_TextBox_0": "Acknowledgements", - "19_TextBox_1": "National Alliance for Medical Image\nComputing\nNIH U54EB005149\n\nNeuroimage Analysis Center\nNIH P41EB015902\n\nChan Zuckerberg Initiative (CZI)" + "19_TextBox_0": "Agradecimentos", + "19_TextBox_1": "Aliança Nacional para Computação de\nImagens Médicas\nNIH U54EB005149\n\nCentro de Análise de Neuroimagens\nNIH P41EB015902 \n\nIniciativa Chan Zuckerberg (CZI)" } \ No newline at end of file diff --git a/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_en-US.json b/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_en-US.json new file mode 100644 index 00000000..42c07552 --- /dev/null +++ b/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_en-US.json @@ -0,0 +1,39 @@ +{ + "0_TextBox_0": "Slicer4 Minute\n", + "0_TextBox_1": "Sonia Pujol, Ph.D.", + "0_TextBox_3": "Assistant Professor of Radiology\nBrigham and Women’s Hospital\nHarvard Medical School", + "1_TextBox_0": "Slicer4 minute tutorial", + "16_TextBox_0": "Slicer4 minute tutorial", + "1_TextBox_1": "This tutorial is a 4-minute introduction to the 3D visualization capabilities of the Slicer5 software for medical image analysis. ", + "2_TextBox_0": "Slicer5 software & dataset", + "2_TextBox_1": "*Download the Slicer5 software available at http://download.slicer.org\n\n*Download the Slicer4minute dataset available at https://www.slicer.org/wiki/Documentation/4.10/Training", + "3_3DSlicerversion5_title": "3D Slicer version 5", + "4_TextBox_0": "3D Slicer Scene", + "4_TextBox_1": "*A Slicer scene is a MRML (Medical Reality Modeling Language) file that contains a list of elements loaded into Slicer (volumes, models, fiducials, transforms, etc.)\n*In the following example, we use a scene 'Slicer4minute.mrml' composed of an MRI scan and 3D models of the head. \n*The scene file and datasets have been saved as a MRB (Medical Reality Bundle) file. \n*The MRB file format is Slicer's archive file format.", + "5_LoadingtheSlicer4minutedataset_title": "Loading the Slicer4minute dataset", + "5_TextBox_1": "Drag and drop the slicer4minute.mrb to load the scene in Slicer", + "6_Slicer4minuteScene_title": "Slicer4minute Scene", + "6_TextBox_1": "Slicer displays the elements of the slicer4minute scene. The scene contains and MRI scan and 3D surface models of the brain.", + "7_TextBox_0": "Select the module Models", + "8_3Dvisualization_title": "3D visualization", + "8_TextBox_0": "Click on the pin icon on the top left corner of the red slice to display the slice viewer menu.\nClick on the eye icon to display the axial slice in the 3D viewer", + "9_TextBox_1": "Use the slider of the red viewer to browse through the axial MR slices. \n\nSlicer simultaneously displays the axial slice in the 3D viewer", + "10_TextBox_0": "Select the Skin model and lower its opacity using the Opacity slider in the 3D Display tab", + "10_TextBox_1": "The skull_bone.vtk model appears through the skin.", + "11_TextBox_0": "Position the mouse in the 3D viewer, click on the left-mouse button to drag and rotate the model. \nClick on the right-mouse button to zoom in and out", + "12_AnatomicalViews_title": "Anatomical Views", + "12_TextBox_0": "Click on the pin icons in the top left corner of the red and green viewer to display the slice viewer menu\n\nClick on the eye icon to display the axial and coronal slice in the 3D viewer", + "13_TextBox_0": "Turn off the visibility of the skull to display the brain white matter model", + "14_TextBox_0": "The white matter surface, as well as the left and right optic nerves, appear in the viewer", + "15_TextBox_0": "Select the hemispheric_white_matter.vtk model\n\nCheck Clipping in the 3D Display tab\n\nIn the Clipping Planes tab, select the option 'Green Slice Clipping' and check 'Negative'", + "16_TextBox_1": "*This tutorial was a short introduction on interactive 3D visualization of MRI data and 3D models in Slicer.\n\n*The Slicer5 training compendium contains a series of tutorials and pre-computed datasets to learn how to use the software.", + "17_TextBox_1": "National Alliance for Medical Image\nComputing\nNIH U54EB005149\n\nNeuroimage Analysis Center\nNIH P41EB015902\n", + "7_3DVisualization_title": "3D Visualization", + "9_3DVisualization_title": "3D Visualization", + "10_3DVisualization_title": "3D Visualization", + "11_3DVisualization_title": "3D Visualization", + "13_3DVisualization_title": "3D Visualization", + "14_3DVisualization_title": "3D Visualization", + "15_3DVisualization_title": "3D Visualization", + "17_TextBox_0": "Acknowledgements" +} \ No newline at end of file diff --git a/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_pt-BR.json b/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_pt-BR.json index 06be81b1..40db33b1 100644 --- a/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_pt-BR.json +++ b/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_pt-BR.json @@ -1,39 +1,39 @@ { - "0_TextBox_0": "Slicer4 Minute\n", + "0_TextBox_0": "Slicer em 4 Minutos\n", "0_TextBox_1": "Sonia Pujol, Ph.D.", - "0_TextBox_3": "Assistant Professor of Radiology\nBrigham and Women’s Hospital\nHarvard Medical School", + "0_TextBox_3": "Professor Assistente de Radiologia\nHospital Brigham and Women's\nFaculdade de Medicina de Harvard", "1_TextBox_0": "Slicer4 minute tutorial", - "1_TextBox_1": "This tutorial is a 4-minute introduction to the 3D visualization capabilities of the Slicer5 software for medical image analysis. ", - "2_TextBox_0": "Slicer5 software & dataset", - "2_TextBox_1": "*Download the Slicer5 software available at http://download.slicer.org\n\n*Download the Slicer4minute dataset available at https://www.slicer.org/wiki/Documentation/4.10/Training", - "3_3DSlicerversion5_title": "3D Slicer version 5", - "4_TextBox_0": "3D Slicer Scene", - "4_TextBox_1": "*A Slicer scene is a MRML (Medical Reality Modeling Language) file that contains a list of elements loaded into Slicer (volumes, models, fiducials, transforms, etc.)\n*In the following example, we use a scene 'Slicer4minute.mrml' composed of an MRI scan and 3D models of the head. \n*The scene file and datasets have been saved as a MRB (Medical Reality Bundle) file. \n*The MRB file format is Slicer's archive file format.", - "5_LoadingtheSlicer4minutedataset_title": "Loading the Slicer4minute dataset", - "5_TextBox_1": "Drag and drop the slicer4minute.mrb to load the scene in Slicer", - "6_Slicer4minuteScene_title": "Slicer4minute Scene", - "6_TextBox_1": "Slicer displays the elements of the slicer4minute scene. The scene contains and MRI scan and 3D surface models of the brain.", + "1_TextBox_1": "Este tutorial é uma introdução de 4 minutos às capacidades de visualização 3D do software Slicer5 para análise de imagem médica. ", + "2_TextBox_0": "Software Slicer5 e conjunto de dados", + "2_TextBox_1": "*Baixe o software Slicer5 disponível em http://download.slicer.org\n\n*Baixe o conjunto de dados Slicer4minute disponível em https://www.slicer.org/wiki/Documentation/4.10/Training", + "3_3DSlicerversion5_title": "3D Slicer versão 5", + "4_TextBox_0": "Cena 3D Slicer", + "4_TextBox_1": "*A cena Slicer é um arquivo MRML (Medical Reality Modeling Language) que contém uma lista de elementos carregados em Slicer (volumes, modelos, fiduciais, transformas, etc.)\n*No exemplo a seguir, usamos uma cena 'Slicer4minute.mrml' composta por uma varredura de RM e modelos 3D da cabeça.\n*O arquivo de cena e conjuntos de dados foram salvos como um arquivo MRB (Medical Reality Bundle).\n*O formato de arquivo MRB é o formato de arquivo Slicer.", + "5_LoadingtheSlicer4minutedataset_title": "Carregando o conjunto de dados Slicer4minute", + "5_TextBox_1": "Arraste e solte o slicer4minute.mrb para carregar a cena no Slicer", + "6_Slicer4minuteScene_title": "Cena Slicer em 4 minutos", + "6_TextBox_1": "Slicer exibe os elementos da cena slicer4minute. A cena contém e ressonância magnética e modelos de superfície 3D do cérebro.", "7_3DVisualization_title": "3D Visualization", - "7_TextBox_0": "Select the module Models", - "8_3Dvisualization_title": "3D visualization", - "8_TextBox_0": "Click on the pin icon on the top left corner of the red slice to display the slice viewer menu.\nClick on the eye icon to display the axial slice in the 3D viewer", + "7_TextBox_0": "Selecione o módulo Modelos", + "8_3Dvisualization_title": "Visualização 3D", + "8_TextBox_0": "Clique no ícone de alfinete no canto superior esquerdo da fatia vermelha para exibir o menu do visualizador de fatias.\nClique no ícone de olho para exibir a fatia axial no visualizador 3D", "9_3DVisualization_title": "3D Visualization", - "9_TextBox_1": "Use the slider of the red viewer to browse through the axial MR slices. \n\nSlicer simultaneously displays the axial slice in the 3D viewer", + "9_TextBox_1": "Use o controle deslizante do visualizador vermelho para navegar pelos cortes de RM axial.\n\nSlicer exibe simultaneamente a fatia axial no espectador 3D", "10_3DVisualization_title": "3D Visualization", - "10_TextBox_0": "Select the Skin model and lower its opacity using the Opacity slider in the 3D Display tab", - "10_TextBox_1": "The skull_bone.vtk model appears through the skin.", + "10_TextBox_0": "Selecione o modelo de pele e baixe sua opacidade usando o controle deslizante de opacidade na guia Display 3D", + "10_TextBox_1": "O modelo skull_bone.vtk aparece através da pele.", "11_3DVisualization_title": "3D Visualization", - "11_TextBox_0": "Position the mouse in the 3D viewer, click on the left-mouse button to drag and rotate the model. \nClick on the right-mouse button to zoom in and out", - "12_AnatomicalViews_title": "Anatomical Views", - "12_TextBox_0": "Click on the pin icons in the top left corner of the red and green viewer to display the slice viewer menu\n\nClick on the eye icon to display the axial and coronal slice in the 3D viewer", + "11_TextBox_0": "Posicione o mouse no visualizador 3D, clique no botão esquerdo para arrastar e girar o modelo.\nClique no botão direito do mouse para ampliar e sair", + "12_AnatomicalViews_title": "Visões anatômicas", + "12_TextBox_0": "Clique nos ícones de alfinete no canto superior esquerdo do visor vermelho e verde para exibir o menu do espectador de cortes\n\nClique no ícone do olho para exibir o corte axial e coronal no visualizador 3D", "13_3DVisualization_title": "3D Visualization", - "13_TextBox_0": "Turn off the visibility of the skull to display the brain white matter model", + "13_TextBox_0": "Desligue a visibilidade do crânio para exibir o modelo de matéria branca do cérebro", "14_3DVisualization_title": "3D Visualization", - "14_TextBox_0": "The white matter surface, as well as the left and right optic nerves, appear in the viewer", - "15_3DVisualization_title": "3D Visualization", - "15_TextBox_0": "Select the hemispheric_white_matter.vtk model\n\nCheck Clipping in the 3D Display tab\n\nIn the Clipping Planes tab, select the option 'Green Slice Clipping' and check 'Negative'", - "16_TextBox_0": "Slicer4 minute tutorial", - "16_TextBox_1": "*This tutorial was a short introduction on interactive 3D visualization of MRI data and 3D models in Slicer.\n\n*The Slicer5 training compendium contains a series of tutorials and pre-computed datasets to learn how to use the software.", - "17_TextBox_0": "Acknowledgements", - "17_TextBox_1": "National Alliance for Medical Image\nComputing\nNIH U54EB005149\n\nNeuroimage Analysis Center\nNIH P41EB015902\n" + "14_TextBox_0": "A superfície da matéria branca, bem como os nervos ópticos esquerdo e direito, aparecem no visualizador", + "15_3DVisualization_title": "Visualização 3D", + "15_TextBox_0": "Selecione o modelo hemispheric_white_matter.vtk\n\nVerificar Clipping na guia Display 3D\n\nNa guia Clipping Planes, selecione a opção 'Green Slice Clipping' e verifique 'Negativo'", + "16_TextBox_0": "Tutorial de 4 minutos do Slicer", + "16_TextBox_1": "*Este tutorial foi uma breve introdução na visualização 3D interativa de dados de RM e modelos 3D em Slicer.\n\n*O Compêndio de treinamento Slicer5 contém uma série de tutoriais e conjuntos de dados pré-computados para aprender a usar o software.", + "17_TextBox_0": "Agradecimentos", + "17_TextBox_1": "Aliança Nacional para Computação de\nImagem Médica\nNIH U54EB005149\n\nCentro de Análise de Neuroimagem\nNIH P41EB015902\n" } \ No newline at end of file diff --git a/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_en-US.json b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_en-US.json new file mode 100644 index 00000000..119c0bd9 --- /dev/null +++ b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_en-US.json @@ -0,0 +1,49 @@ +{ + "0_TextBox_0": "AI-based Segmentation in 3D Slicer", + "0_TextBox_1": "Sonia Pujol, Ph. D\nBrigham and Women's Hospital,\nHarvard Medical School\nBoston, MA", + "0_TextBox_3": "Slicer Ribeirão Preto Workshop\nJune 30, 2025", + "1_TextBox_0": "Manual vs AI-powered Segmentation", + "2_TextBox_0": "Manual vs AI-powered Segmentation", + "1_TextBox_1": "Medical images have traditionally been manually segmented, which is a time-consuming process that requires intensive effort by radiologists and is subject to inter-reader variability.", + "2_TextBox_1": "In the past decade, image segmentation has been powered by the development of deep learning algorithms (e.g. nnUnet by the German Cancer Research Center (DKFZ)/Helmholtz Research).\n\n\nAI-powered segmentation tools can reduce the segmentation time and provide more reproducible results.", + "3_TextBox_0": "AI Terminology", + "3_TextBox_1": "A is an AI algorithm that was trained to perform a specific task (e.g. brain tumor segmentation model).\n\nThe Weights of an AI model are small numbers that determine how much importance the model gives to different image features.\n\nDuring the Training phase, a Model learns patterns from data labelled by experts and adjusts its weights to improve its predictions.\n\nDuring the Validation/Test phase, the model is evaluated on a separate set of data not used during the Training phase.\n\nDuring Inference, the model is applied to new datasets to perform the specific task it was trained for.", + "4_TextBox_0": "3D Slicer AI Workshop", + "4_TextBox_1": "This tutorial focuses on running inference tasks using various pretrained AI models for automated segmentation of anatomical and pathological structures.", + "5_TextBox_0": "MONAIAuto3DSeg Slicer extension", + "6_TextBox_0": "MONAIAuto3DSeg Slicer extension", + "5_TextBox_1": "This tutorial uses the pre-trained models of the MONAIAuto3DSeg Slicer extension.\n\n\nThe tool is designed to work on laptops or on average desktop computer without a GPU.", + "6_TextBox_1": "Multiple modalities Support (CT, MRI).\n\n\nMultiple anatomies (head, thorax, abdomen, pelvis, etc.).\n\n\nMultiple pathologies (tumor, hemorrhage, edema).", + "7_TextBox_0": "Slicer AI Tutorial: Segmentation Tasks", + "7_TextBox_1": "Segmentation Task #1: Prostate.\n\n\nSegmentation Task #2: Brain Glioma.\n\n\nSegmentation Task #3: Whole Body Segmentation.", + "8_TextBox_0": "AI Segmentation Task #1: Prostate", + "9_TextBox_1": "AI-based Segmentation of Peripheral Zone (PZ) and Transition Zone (TZ) of the prostate on T2-weighted MRI Images.\n\n\nDataset:\nmsd_prostate_01-t2\nmsd_prostate_01-adc", + "10_TextBox_1": "Click on Add Data in the Welcome to Slicer Module\n\nClick on Choose Directory to Add and browse to the location of the Slicer datasets", + "11_TextBox_0": "Slicer loads the prostate MRI data set", + "12_TextBox_0": "Click on Welcome to Slicer in the Modules' menu and browse to the category Segmentation\n\nSelec the MONAI Auto3DSeg module", + "13_TextBox_0": "Enter the model's name Prostate in the Segmentation model menu", + "13_TextBox_1": "Select the model Prostate - Multisequence", + "14_TextBox_0": "Enter the Input T2 volume msd-prostate-01-adc and the Input ADC volume msd-prostate-01-adc.", + "14_TextBox_1": "Click on Create new segmentation on Apply", + "16_TextBox_0": "Slicer shows the results of the AI-based prostate segmentation", + "17_TextBox_0": "AI Segmentation Task #2: Brain Glioma", + "18_TextBox_1": "AI-based Segmentation of Neoplasm, Necrosis and Edema in Brain MRI images.\n\n\nDatasets:\n1) BraTS-GLI_00005-000-t1n (T1-weighted)\n2) BraTS-GLI_00005-000-t1c (T1-weighted post-Gd)\n3) BraTS-GLI_00005-000-t2w (T2-weighted)\n4) BraTS-GLI_00005-000-t2f (T2-FLAIR )", + "19_TextBox_1": "Click on Add Data in the Welcome to Slicer Module\n\nClick on Choose File(s) to Add and browse to the loccation of the Slicer datasets", + "20_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Brain Tumor Segmentation in the Segmentation model menu", + "20_TextBox_1": "Select the model Brain Tumor Segmentation (BRATS) GLI", + "21_TextBox_0": "Enter the input volumes as follows:\n\nInput T2F volume: BraTS-GLI_00005-000-t12f\nInput T1C volume: BraTS-GLI_00005-00-t1c\nInput T1N volume: BraTS-GLI_00005-000-t1n\nInput T2W volume: BraTS-GLI_00005-000-t2w\n\n\nClick on Create new Segmentation on Appply\n\nClick on Apply to start the segmentation", + "22_TextBox_1": "Slicer starts running the inference task\n\nOnce the segmentation is done, 'Processing finished' appears in the Slicer GUI", + "23_TextBox_1": "Click on Show 3D to display the 3D segments in the 3D Viewer", + "24_TextBox_0": "AI Segmentation Task #3: Whole Body Segmentation", + "25_TextBox_1": "AI-based Segmentation of the whole body.\n\n\nDataset:\nCT_ThoraxAbdomen", + "26_TextBox_0": "In the Add DICOM Data module, select the Patient patient1 and double click onthe image CT_Thorax_Abdomen to load it in Slicer", + "27_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Whole Body Segmentation in the Segmentation model menu", + "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 IA-based segmentation using the Whole Body Segmentation TS1-quick", + "30_TextBox_0": "Conclusion", + "30_TextBox_1": "The 3D SlicerMONAIAuto3DSeg 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_1": "The 3D Slicer internationalization project and the 3D Slicer for Latin America project have been made possible by two CZI Essential Open Source Software for Science (EOSS cycle 4 & 5) grants.", + "15_TextBox_0": "Slicer starts the inference", + "31_TextBox_0": "Acknowledgements" +} \ No newline at end of file diff --git a/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_pt-BR.json b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_pt-BR.json index b88c3d52..9ffb2974 100644 --- a/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_pt-BR.json +++ b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_pt-BR.json @@ -1,12 +1,12 @@ { "0_TextBox_0": "AI-based Segmentation in 3D Slicer", - "0_TextBox_1": "Sonia Pujol, Ph. D\nBrigham and Women's Hospital,\nHarvard Medical School\nBoston, MA", - "0_TextBox_3": "Slicer Ribeirão Preto Workshop\nJune 30, 2025", + "0_TextBox_1": "Sonia Pujol, Ph. D\nBrigham and Women's Hospital ,\nEscola de Medicina de Harvard\nBoston, MA", + "0_TextBox_3": "Oficina de Slicer Ribeirão Preto\n30 de junho de 2025", "1_TextBox_0": "Manual vs AI-powered Segmentation", - "1_TextBox_1": "Medical images have traditionally been manually segmented, which is a time-consuming process that requires intensive effort by radiologists and is subject to inter-reader variability.", - "2_TextBox_0": "Manual vs AI-powered Segmentation", - "2_TextBox_1": "In the past decade, image segmentation has been powered by the development of deep learning algorithms (e.g. nnUnet by the German Cancer Research Center (DKFZ)/Helmholtz Research).\n\n\nAI-powered segmentation tools can reduce the segmentation time and provide more reproducible results.", - "3_TextBox_0": "AI Terminology", + "1_TextBox_1": "As imagens médicas têm sido tradicionalmente segmentadas manualmente, o que é um processo demorado que requer esforço intensivo de radiologistas e está sujeito à variabilidade inter-reader.", + "2_TextBox_0": "Manual vs Segmentação por IA", + "2_TextBox_1": "Na última década, a segmentação de imagem tem sido alimentada pelo desenvolvimento de algoritmos de aprendizagem profunda (por exemplo, nnUnet pelo Centro Alemão de Pesquisa de Câncer (DKFZ)/Helmholtz Research).\nAs ferramentas de segmentação alimentadas por IA podem reduzir o tempo de segmentação e proporcionar resultados mais reprodutíveis.", + "3_TextBox_0": "Terminologia", "3_TextBox_1": "A is an AI algorithm that was trained to perform a specific task (e.g. brain tumor segmentation model).\n\nThe Weights of an AI model are small numbers that determine how much importance the model gives to different image features.\n\nDuring the Training phase, a Model learns patterns from data labelled by experts and adjusts its weights to improve its predictions.\n\nDuring the Validation/Test phase, the model is evaluated on a separate set of data not used during the Training phase.\n\nDuring Inference, the model is applied to new datasets to perform the specific task it was trained for.", "4_TextBox_0": "3D Slicer AI Workshop", "4_TextBox_1": "This tutorial focuses on running inference tasks using various pretrained AI models for automated segmentation of anatomical and pathological structures.", @@ -44,6 +44,6 @@ "29_TextBox_0": "Slicer displays the results of the IA-based segmentation using the Whole Body Segmentation TS1-quick", "30_TextBox_0": "Conclusion", "30_TextBox_1": "The 3D SlicerMONAIAuto3DSeg 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": "Agradecimentos", "31_TextBox_1": "The 3D Slicer internationalization project and the 3D Slicer for Latin America project have been made possible by two CZI Essential Open Source Software for Science (EOSS cycle 4 & 5) grants." } \ No newline at end of file diff --git a/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_en-US.json b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_en-US.json new file mode 100644 index 00000000..fafa50dc --- /dev/null +++ b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_en-US.json @@ -0,0 +1,99 @@ +{ + "1_TextBox_1": "This tutorial is an introduction to the basics of loading and viewing DICOM images and 3D models in 3D Slicer.", + "3_TextBox_0": "Tutorial materials", + "4_TextBox_0": "Tutorial dataset", + "33_TextBox_0": "Tutorial dataset", + "5_TextBox_0": "Disclaimer", + "6_TextBox_0": "Tutorial Outline", + "8_LoadingaDICOMvolume_title": "Loading a DICOM volume", + "9_LoadingaDICOMvolume_title": "Loading a DICOM volume", + "8_TextBox_1": "The patient1 study contains a CT Thorax Abdomen dataset", + "11_ArrowText_2": "Select the module \nVolumes", + "10_VisualizingDICOMimages_title": "Visualizing DICOM images", + "11_VisualizingDICOMimages_title": "Visualizing DICOM images", + "12_VisualizingDICOMimages_title": "Visualizing DICOM images", + "13_VisualizingDICOMimages_title": "Visualizing DICOM images", + "14_VisualizingDICOMimages_title": "Visualizing DICOM images", + "15_VisualizingDICOMimages_title": "Visualizing DICOM images", + "16_VisualizingDICOMimages_title": "Visualizing DICOM images", + "17_VisualizingDICOMimages_title": "Visualizing DICOM images", + "18_VisualizingDICOMimages_title": "Visualizing DICOM images", + "16_TextBox_0": "Slicer switches the layout \nto Conventional \nWidescreen layout", + "17_TextBox_0": "Use the right mouse button in the \n3D Viewer to zoom in and out", + "19_3DViewerController_title": "3D Viewer Controller", + "20_3DViewerController_title": "3D Viewer Controller", + "22_TextBox_0": "Volume Rendering", + "23_VolumeRendering_title": "Volume Rendering", + "24_VolumeRendering_title": "Volume Rendering", + "25_VolumeRendering_title": "Volume Rendering", + "26_VolumeRendering_title": "Volume Rendering", + "27_VolumeRendering_title": "Volume Rendering", + "28_VolumeRendering_title": "Volume Rendering", + "29_VolumeRendering_title": "Volume Rendering", + "30_VolumeRendering_title": "Volume Rendering", + "31_VolumeRendering_title": "Volume Rendering", + "24_TextBox_2": "Select VTK GPU Ray Casting Rendering\nClick on the eye icon in the Volume tab to display \nthe volume rendered image in the 3D viewer", + "26_ArrowText_0": "Click on Display ROI to \ndisplay a region of interest \n(ROI) in the 3D viewer and \ncheck the option Enable", + "28_ArrowText_0": "Click on the eye icon to \ndisplay the volume rendered \nimage", + "29_TextBox_0": "Slicer displays the \nvolume rendered \nimage of the left kidney ", + "30_TextBox_0": "Extend the ROI to generate \na volume rendered image of \nthe right kidney", + "34_TextBox_0": "Slicer Scene", + "35_LoadingaScene_title": "Loading a Scene", + "35_TextBox_0": "Slicer displays a 3D \nsurface model of the \nhead and 2D MRI slices", + "36_Viewing3Dmodels_title": "Viewing 3D models", + "37_Viewing3Dmodels_title": "Viewing 3D models", + "38_Viewing3Dmodels_title": "Viewing 3D models", + "39_Viewing3Dmodels_title": "Viewing 3D models", + "40_Viewing3Dmodels_title": "Viewing 3D models", + "36_ArrowText_0": "Position the cursor over \nthe pin icon to reveal the \nslice menu and click on \nthe eye icon to display the \naxial slice in the 3D viewer", + "41_Interactingwith3Dmodels_title": "Interacting with 3D models", + "42_Interactingwith3Dmodels_title": "Interacting with 3D models", + "43_Interactingwith3Dmodels_title": "Interacting with 3D models", + "44_Interactingwith3Dmodels_title": "Interacting with 3D models", + "38_ArrowText_0": "Lower the opacity of \nthe Skin model using \nthe visibility slider", + "38_TextBox_1": "The skull bone and \neyeballs models appear \nthrough the skin", + "40_TextBox_2": "The white matter and \noptic nerve models \nappear through the skin", + "40_ArrowText_1": "Select the skull bone \nmodel and click on the \neye icon to turn off its \nvisibility", + "0_TextBox_0": "Basics of Data Loading and 3D Visualization in 3D Slicer", + "0_TextBox_1": "Author: Sonia Pujol, Ph.D.", + "0_TextBox_2": "24/11/2024", + "0_TextBox_3": "Assistant Professor of Radiology Brigham and Women’s Hospital Harvard Medical School", + "1_TextBox_0": "Overall Goal", + "2_TextBox_0": "Learning Objectives", + "2_TextBox_1": " • Following this tutorial, you will be able\n\n• to load and visualize DICOM images in Slicer\n\n• to perform volume rendering of CT data\n\n• to load and visualize 3D models reconstructed from MRI data", + "3_TextBox_1": "• 3D Slicer version 5.10\n\n• 3D VisualizationDataSet.zip", + "4_TextBox_1": "The file 3DVisualizationDataset.zip contains two directories:\n\n- dataset1_Thorax_Abdomen \n- dataset2_Head\n\nUnzip the file 3DVisualizationDataset.zip on your computer to access the datasets", + "5_TextBox_1": "• 3D Slicer is a free open source software application distributed under a BSD style license. \n\n\n• The software is not FDA approved or CE-Marked, and is for research use only.\nTutorial Outline", + "6_TextBox_1": "• Part 1: Loading and Viewing DICOM data\n\n• Part 2: Volume Rendering\n\n\n• Part 3: Loading and Viewing 3D models", + "7_TextBox_0": "Part 1: DICOM Data Loading", + "8_TextBox_0": "Slicer displays the user interface of the DICOM module", + "9_ArrowText_1": "Select patient1 and click on Load \nto load the dataset in Slicer", + "10_TextBox_0": "Slicer displays the axial, coronal \nand sagittal images of the CT \nThorax Abdomen dataset ", + "11_ArrowText_1": "Left click on DICOM to display \nthe list of modules of Slicer", + "12_ArrowText_0": "Click on the CT-abdomen \npreset to automatically adjust \nthe window/level display of the \nCT dataset", + "13_TextBox_1": "Position the mouse cursor \nover the red banner in the \nRed Viewer to display the slice \nmenu.\n\n\nClick on the Links icon to link \nthe slice controls across all \nSlice Viewers. \n\n\nClick on the Eye icon to\ndisplay the three anatomical \nslices in the 3D Viewer", + "14_TextBox_0": "The three anatomical slices \nappear in the 3D viewer.", + "15_ArrowText_0": "Click on the Slicer layout menu \nicon, and select the \nConventional Widescreen layout", + "18_TextBox_0": "Use the left mouse button in the \n3D Viewer to rotate the images", + "19_TextBox_1": "Position the mouse cursor over \nthe pin icon in the blue banner \nof the 3D viewer window to \ndisplay the 3DView controller\n\nClick on the second icon on the \ntop row of the 3DView \ncontroller to center the 3D view \non the scene", + "20_ArrowText_1": "Select the Volume Rendering \nmodule in the list of modules ", + "21_TextBox_0": "Part 2: Volume Rendering", + "22_TextBox_1": "• Volume rendering \ntechniques enable 3D \nvisualization of 3D \ndatasets\n\n• The Volume Rendering \nmodule in Slicer enables \ninteractive 3D visualization \nof DICOM images", + "23_ArrowText_0": "Click on Preset in the Display tab \nand select the preset CT-Cardiac3 ", + "25_ArrowText_0": "Use the shift slider to \nchange the transfer \nfunction and display the\naorta", + "27_TextBox_0": "Turn off the visibility of the \naxial, sagittal and coronal \nslices in the 2D viewer \n\n\nPosition the ROI around the \nleft kidney using the color \nhandles", + "31_ArrowText_1": "Click on File, then Close Scene\nin the main menu", + "32_TextBox_0": "Part 3: Loading and \nviewing 3D models\n", + "33_TextBox_1": "• The directory dataset2_Head contains the Slicer scene called Head_scene.mrb\n\n• The scene contains 3D models from the SPL brain atlas developed by the department of Radiology at Brigham and Women’s Hospital, Harvard Medical School (NIH P41 RR013218, NIH R01 MH05074)", + "34_TextBox_1": "Slicer stores all loaded data in a repository called a scene\n\n\nEach data set, such as an image volume, surface model, or point set, is represented as a node in a Slicer scene.\n\n\nAll Slicer modules operate on the data stored in a Slicer scene.", + "37_ArrowText_1": "Select the Models module \nin the list of models", + "39_ArrowText_0": "Slicer displays the list of \n3D models loaded in the \nscene\n\nSelect the model Skin.vtk", + "41_ArrowText_0": "Click on the eye icon to \ndisplay the coronal slice \nin the 3D viewer", + "42_ArrowText_2": "Select the hemispheric \nwhite matter model and \nselect the option Clipping", + "43_TextBox_0": "Move the coronal slice \nposteriorily to display the \noptic chiasm", + "44_TextBox_0": "Slicer displays a 3D view of \nthe optic chiasm", + "45_TextBox_1": "• 3D Slicer provides advanced functionalities for loading and viewing 3D medical imaging data\n\n• The tutorial demonstrates how to use volume \nrendering and 3D surface modeling for \ninteractive visualization of CT and MRI data\n\n\nContact: spujol@bwh.harvard.edu", + "46_TextBox_0": "Acknowledgements", + "46_TextBox_1": "Neuroimage Analysis Center (NIBIB P41 EB015902)", + "45_TextBox_0": "Conclusion" +} \ No newline at end of file diff --git a/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_pt-BR.json b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_pt-BR.json index ef5e24fe..d17023df 100644 --- a/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_pt-BR.json +++ b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_pt-BR.json @@ -1,21 +1,21 @@ { "0_TextBox_0": "Noções básicas de carregamento de dados e visualização 3D no 3D Slicer", - "0_TextBox_1": "Author: Sonia Pujol, Ph.D.", + "0_TextBox_1": "Autor: Sonia Pujol, Ph.D.", "0_TextBox_2": "24/11/2024", - "0_TextBox_3": "Assistant Professor of Radiology Brigham and Women’s Hospital Harvard Medical School", + "0_TextBox_3": "Professora Assistente de Radiologia Brigham e Escola Médica de Harvard do Hospital das Mulheres", "1_TextBox_0": "Objetivo geral", "1_TextBox_1": "Este tutorial é uma introdução aos conceitos básicos de carregamento e visualização de imagens DICOM e modelos 3D no 3D Slicer.", "2_TextBox_0": "Objectivos de aprendizagem", "2_TextBox_1": " • Following this tutorial, you will be able\n\n• to load and visualize DICOM images in Slicer\n\n• to perform volume rendering of CT data\n\n• to load and visualize 3D models reconstructed from MRI data", "3_TextBox_0": "Materiais do tutorial", - "3_TextBox_1": "• 3D Slicer version 5.10\n\n• 3D VisualizationDataSet.zip", + "3_TextBox_1": "-3D Slicer versão 5.10\n\n-3D VisualizationDataSet.zip", "4_TextBox_0": "Tutorial dataset", - "4_TextBox_1": "The file 3DVisualizationDataset.zip contains two directories:\n\n- dataset1_Thorax_Abdomen \n- dataset2_Head\n\nUnzip the file 3DVisualizationDataset.zip on your computer to access the datasets", + "4_TextBox_1": "O arquivo 3DVisualizationDataset.zip contém\ndois diretórios:\n-dataset1_Thorax_Abdomen\n-dataset2_Head\n\nDescompactar o arquivo 3DVisualizationDataset.zip em\nseu computador para acessar os conjuntos de dados", "5_TextBox_0": "Isenção de responsabilidade", - "5_TextBox_1": "• 3D Slicer is a free open source software application distributed under a BSD style license. \n\n\n• The software is not FDA approved or CE-Marked, and is for research use only.\nTutorial Outline", + "5_TextBox_1": "• O 3D Slicer é um software de código aberto gratuito distribuído sob uma licença no estilo BSD.\n• O software não possui aprovação da FDA nem marcação CE, e é apenas para uso em pesquisa.", "6_TextBox_0": "Resumo do tutorial", - "6_TextBox_1": "• Part 1: Loading and Viewing DICOM data\n\n• Part 2: Volume Rendering\n\n\n• Part 3: Loading and Viewing 3D models", - "7_TextBox_0": "Part 1: DICOM Data Loading", + "6_TextBox_1": "Parte 1: Carregando e visualizando dados DICOM\n\nParte 2: Renderização de volume\n\nParte 3: Carregando e visualizando modelos 3D", + "7_TextBox_0": "Parte 1: Carregamento de Dados DICOM", "8_LoadingaDICOMvolume_title": "Loading a DICOM volume", "8_TextBox_0": "Slicer displays the user interface of the DICOM module", "8_TextBox_1": "O estudo do paciente 1 contém um conjunto de dados de tomografia computadorizada de tórax e abdome", @@ -66,7 +66,7 @@ "31_VolumeRendering_title": "Volume Rendering", "31_ArrowText_1": "Click on File, then Close Scene\nin the main menu", "32_TextBox_0": "Part 3: Loading and \nviewing 3D models\n", - "33_TextBox_0": "Tutorial dataset", + "33_TextBox_0": "Conjunto de dados do tutorial", "33_TextBox_1": "• The directory dataset2_Head contains the Slicer scene called Head_scene.mrb\n\n• The scene contains 3D models from the SPL brain atlas developed by the department of Radiology at Brigham and Women’s Hospital, Harvard Medical School (NIH P41 RR013218, NIH R01 MH05074)", "34_TextBox_0": "Cena do Slicer", "34_TextBox_1": "Slicer stores all loaded data in a repository called a scene\n\n\nEach data set, such as an image volume, surface model, or point set, is represented as a node in a Slicer scene.\n\n\nAll Slicer modules operate on the data stored in a Slicer scene.",