Slicer 3.6:Training

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
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.
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.
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