Slicer 3.6:Training

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This page contains tutorials designed for 3D Slicer 3.6. (page currently under construction)


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
Slicer3Minute 3.6RC2.png
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.
VisualizationTutorial 3.6RC3.png
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 HelloPython.png
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.
Slicer3 ManualRegistrationTutorial.gif
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 Cc.PNG
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