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Welcome to the 3D Slicer3 Tutorial Page

This page is under construction The information on this page applies to 3D Slicer version 3. If you are looking for materials about Slicer version 2, please go to the following location.

Slicer 3 has been designed as
- an easy-to-use application for 3D image analysis and visualization,
- an open-source environment for software development,
- a technology delivery platform for community breakthroughs.
Slicer3 is distributed under a BSD open source license, and is designed to enable a collaborative development environment.
This page contains training materials and data sets for self-guided training in the use of Slicer3

For questions about the materials on this page, please send an e-mail to Sonia Pujol, Ph.D. (spujol at bwh.harvard.edu).

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Software Installation

The Slicer download page contains links for downloading the different versions of Slicer 3.

Training Compendium

Category/#	Tutorial	Sample Data	Image
1.1	Data Loading and Visualization in Slicer3	SlicerSampleVisualization.tar.gz
1.2	EM Segmentation Course Older materials: 1, 2	AutomaticSegmentation.tar.gz Older Materials: 1
1.3	Affine and deformable registration in Slicer 3	SlicerSampleRegistration.tgz
1.4	Processing of DWI and DTI data in Slicer3 earlier version This tutorial takes the trainee through the slicer3 diffusion display and processing options. See here for background info.	Slicer3-diffusion-Tutorial material.zip
1.5	Detecting subtle change in pathology This tutorial consists of two MR scans of a patient with meningioma.	TumorGrowth-Tutorial-Data.xcat
2.1	Plug-ins for Slicer3: Course for Developers This tutorial is intended for engineers and scientists who want to integrate external programs with Slicer3.	HelloWorld.zip
2.2	Image Guided Therapy Planning Tutorial See here for background info. This tutorial takes the trainee through a complete workup for neurosurgical patient specific mapping	NeurosurgicalPlanningTutorialData.zip
3.1	Slicer3 as a research tool for image guided therapy research (IGT) This tutorial is intended for engineers and scientists who want to use Slicer 3 for IGT research.
3.2	SPL-PNL Brain Atlas This three-dimensional brain atlas dataset, derived from a volumetric, whole-head MRI scan, contains the original MRI-scan, a complete set of label maps, three-dimensional reconstructions (200+ structures) and a tutorial. See here for more background info.	SPL-PNL Brain Atlas
3.3	SPL Abdominal Atlas This three-dimensional abdominal atlas was derived from a computed tomography (CT) scan, using semi-automated image segmentation and three-dimensional reconstruction techniques. The dataset contains the original CT scan, detailed label maps, three-dimensional reconstructions and a tutorial. See here for more background info.	SPL Abdominal Atlas