Slicer3.4:Training

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 ( version 3.4) 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.
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
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

Slicer Tutorial Contest

(under construction)

The following tutorials were part of the Summer 2009 Slicer tutorial contest and Winter 2009 Slicer tutorial contest.

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 Tutorials

• Visit the Slicer 3.2 training page.
• Visit the Slicer 2 training page.

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	--