Difference between revisions of "Slicer3.4:Training"
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| style="background:#FFD700; color:black" align="Center"| <span id="1.1"></span> '''Core''' | | style="background:#FFD700; color:black" align="Center"| <span id="1.1"></span> '''Core''' | ||
| style="background:#FFFE59; color:black" | '''[[Media:ProgrammingIntoSlicer3_SoniaPujol.pdf | Programming in Slicer3 Tutorial ]]''' <br><br> The Programming in Slicer3 tutorial is an introduction to the the integration of stand-alone programs outside of the Slicer3 source tree.<br> <br>'''Audience''': Programmers and Engineers. | | style="background:#FFFE59; color:black" | '''[[Media:ProgrammingIntoSlicer3_SoniaPujol.pdf | Programming in Slicer3 Tutorial ]]''' <br><br> The Programming in Slicer3 tutorial is an introduction to the the integration of stand-alone programs outside of the Slicer3 source tree.<br> <br>'''Audience''': Programmers and Engineers. | ||
− | | style="background:#FFFE59; color:black" | [[Media:HelloWorld_Plugin.zip| | + | | style="background:#FFFE59; color:black" | [[Media:HelloWorld_Plugin.zip| '''HelloWorld Plugin ''']]<br><br> The HelloWorld tutorial dataset contains an MR scan of the brain and pre-computed xml and C++ files for integrating the Hello World plug-in to Slicer3. |
| style="background:#FFFE59; color:black" align="Center"| [[Image:ProgrammingCourse_Logo.PNG|200px|Programming]] | | style="background:#FFFE59; color:black" align="Center"| [[Image:ProgrammingCourse_Logo.PNG|200px|Programming]] | ||
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| style="background:#FFD700; color:black" align="Center"| <span id="1.1"></span> '''Specialized''' | | style="background:#FFD700; color:black" align="Center"| <span id="1.1"></span> '''Specialized''' | ||
| style="background:#FFFE59; color:black" | '''[[Media:FreeSurferCourse_Slicer3-4_SoniaPujol.pdf | 3D Visualization of FreeSurfer Data ]]''' <br><br> The course guides through 3D visualization of FreeSurfer brain segmentations, surface reconstruction and parcellation results in Slicer3.4.<br> <br>'''Audience''': All users. | | style="background:#FFFE59; color:black" | '''[[Media:FreeSurferCourse_Slicer3-4_SoniaPujol.pdf | 3D Visualization of FreeSurfer Data ]]''' <br><br> The course guides through 3D visualization of FreeSurfer brain segmentations, surface reconstruction and parcellation results in Slicer3.4.<br> <br>'''Audience''': All users. | ||
− | | style="background:#FFFE59; color:black" | [http://www.na-mic.org/Wiki/index.php/File:FreeSurferTutorialData.zip | + | | style="background:#FFFE59; color:black" | [http://www.na-mic.org/Wiki/index.php/File:FreeSurferTutorialData.zip '''FreeSurfer Tutorial dataset ''']<br><br> The FreeSurfer dataset contains an MR scan of the brain and pre-computed FreeSurfer segmentation and cortical surface reconstructions. |
| style="background:#FFFE59; color:black" align="Center"| [[Image:FreeSurferTutorial.PNG|200px]] | | style="background:#FFFE59; color:black" align="Center"| [[Image:FreeSurferTutorial.PNG|200px]] | ||
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Revision as of 23:38, 21 August 2009
Home < Slicer3.4:TrainingContents
Software Installation
- The Slicer download page contains information on how to obtain a compiled version of Slicer for a variety of platforms and where to find the source code for Slicer 3.
Software Documentation
- For the Slicer 3.4 manual pages please click here. These pages are the reference manual for Slicer 3.4 and briefly explain the functionality found in panels and modules.
Older Versions
- Visit the Slicer 3.2 training page.
- Visit the Slicer 2 training page.
Slicer 3.4 Tutorials
- The following table contains "How to" tutorials with matched sample data sets. They demonstrate how to use the 3D Slicer environment to accomplish certain tasks.
Category | Tutorial | Sample Data | |
Basic | Slicer3Minute Tutorial The Slicer3Minute tutorial is an introduction to the advanced 3D visualization capabilities of Slicer3.4. Audience: First time users. |
Slicer3Minute dataset The Slicer3Minute dataset contains an MR scan of the brain and 3D reconstructions of the anatomy |
|
Core | Slicer3Visualization Tutorial The Slicer3Visualization tutorial guides through 3D data loading and visualization in Slicer3.4. Audience: All beginning users including clinicians, scientists, engineers and programmers. |
Slicer3Visualization dataset The Slicer3VisualizationDataset contains two MR scans of the brain, a pre-computed labelmap and 3D reconstructions of the anatomy. |
|
Core | Programming in Slicer3 Tutorial The Programming in Slicer3 tutorial is an introduction to the the integration of stand-alone programs outside of the Slicer3 source tree. Audience: Programmers and Engineers. |
HelloWorld Plugin The HelloWorld tutorial dataset contains an MR scan of the brain and pre-computed xml and C++ files for integrating the Hello World plug-in to Slicer3. |
|
Specialized | 3D Visualization of FreeSurfer Data The course guides through 3D visualization of FreeSurfer brain segmentations, surface reconstruction and parcellation results in Slicer3.4. Audience: All users. |
FreeSurfer Tutorial dataset The FreeSurfer dataset contains an MR scan of the brain and pre-computed FreeSurfer segmentation and cortical surface reconstructions. |
Slicer Tutorial Contest (under construction)
- The following tutorials were part of the Summer 2009 Slicer tutorial contest and Winter 2009 Slicer tutorial contest.
Contest | Tutorial | Sample Data | Screenshot |
Summer 2009 | Confocal Microscopy (First Prize) | -- | |
Summer 2009 | ARCTIC: Automatic Regional Cortical ThICkness V2.1 | ARCTIC Data | |
Summer 2009 | Trans-rectal MR guided prostate biopsy | -- | |
Summer 2009 | Python Stochastic Tractography Module | Stochastic Tractography Data | |
Summer 2009 | White Matter Lesions Segmentation V2.2 | Lesion Segmentation Tutorial Data | |
Winter 2009 | IA FEMesh Tutorial | Mesh Tutorial Example Data | |
Winter 2009 | Non-Human Primate Segmentation Tutorial | Non-Human Primate Segmentation Data | |
Winter 2009 | MR Guided Prostate Interventions | MR Guided Prostate Interventions Data | |
Winter 2009 | Basic Navigation Tutorial | Basic Navigation Data | |
Winter 2009 | Python Stochastic Tractography Tutorial V1.0 | Stochastic Tractography Data | |
Winter 2009 | ARCTIC: Automatic Regional Cortical ThICkness V1.0 (First Prize) | ARCTIC Data | |
Winter 2009 | White Matter Lesions Segmentation V2.0 | Lesion Segmentation Tutorial Data | |
Winter 2009 | Segmentation of the Orbit | -- | |
Winter 2009 | Robotic IGT | -- |