Slicer3.4:Training
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Contents
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 |
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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. |
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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. |
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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. |
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Specialized | Automatic Segmentation Tutorial The course guides through the process of using the Expectation-Maximization Segmentation algorithm to automatically segment brain structures from MRI data. Audience: Programmers and Engineers. |
Automatic Segmentation dataset |
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Specialized | Neurosurgical Planning Tutorial This tutorial takes the trainee through a complete workup for neurosurgical patient-specific mapping. Also see this tutorial for information on how to use Slicer's affine registration, simple region growing, model maker and tractography modules. Audience: All users interested in image-guided therapy. |
Neurosurgical Planning dataset |
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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 | Image |
Summer 2009 | Confocal Microscopy | Microscopy Confocal Dataset | ![]() |
Summer 2009 | ARCTIC: Automatic Regional Cortical ThICkness V2.1 | ARCTIC Data | ![]() |
Summer 2009 | Trans-rectal MR guided prostate biopsy | MR guided prostate biopsy Dataset | ![]() |
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 | ARCTIC Data | ![]() |
Winter 2009 | White Matter Lesions Segmentation V2.0 | Lesion Segmentation Tutorial Data | ![]() |
Winter 2009 | Segmentation of the Orbit | -- | ![]() |