Slicer 3.6:Training
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This page contains tutorials designed for 3D Slicer 3.6. (page currently under construction)
- For tutorials for other versions of Slicer, please visit the Slicer training portal.
Category | Tutorial | Sample Data | Image |
Core | Slicer3Minute Tutorial The Slicer3Minute tutorial is an introduction to the advanced 3D visualization capabilities of Slicer3.6. Audience: First time users. |
Slicer3Minute Data 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 Slicer3.6. Audience: All beginning users including clinicians, scientists, engineers and programmers. |
Slicer3Visualization Data 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. |
under construction | |
Segmentation | Automatic Segmentation 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 Data | under construction |
Registration | Slicer3 Manual Registration Tutorial Shows how to manually/interactively align two images in Slicer3.4 or 3.5. Audience: First time & early users. |
Manual Registration Data This dataset contains two brain MRI of a single subject, obtained in different orientations. |
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Specialized | Diffusion MRI Tutorial This tutorial guides you through the process of loading diffusion MR data, estimating diffusion tensors, and performing tractography of white matter bundles. Audience: All users and developers. |
Diffusion Data | |
Specialized | Change Tracker Tutorial This tutorial describes the use of ChangeTracker module to detect changes in tumor volume from two MRI scans. Audience: All users interested in longitudinal analysis of pathology. |
Training Data download is integrated with the ChangeTracker module (see Tutorial) | under construction |