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Home < Slicer3.4:Training
- 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.
- 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.
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 to accomplish certain tasks.
|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
|Specialized||Advanced Navigation Tutorial
Illustrates Slicer3's tracking capabilities using a tracking device (the NDI Aurora), and provides an overview of the OpenIGTLink protocol .
Audience: All users interested in using tracking devices.
|Advanced Navigation Data
|Specialized||LEGO IGT and Medical Robotics Tutorial
Provides an overview of all of the main components of image-guided therapy and medical robotics, including imaging, pre-operative planning, targetting by tracking, navigation and registration .
Audience: Users new to image-guided therapy in Slicer3.
|LEGO tutorial data
Slicer Tutorial Contest
|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||--|