Welcome to the 3D Slicer3.2 User Training 101
- The information on this page applies to 3D Slicer version 3.2.
The Slicer download page contains links for downloading the different versions of Slicer 3.
|1.1||Data Loading and 3D Visualization in Slicer3||SlicerSampleVisualization.tar.gz
|1.2||Manual segmentation with 3D Slicer|
|1.3||EM Segmentation Course
Background Materials: EMSegmenter History
|1.4||Affine and Deformable Registration in Slicer 3|| SlicerSampleRegistration.tgz
|1.5|| Processing of Diffusion Weighted Imaging and Diffusion Tensor Imaging data in Slicer3
Background Materials:DT-MRI module.
|1.6|| Detecting subtle change in pathology
This tutorial consists of two MR scans of a patient with meningioma.
|1.7||Detecting white matter lesions in lupus
This tutorial teaches how to use an automated, multi-level method to segment white matter brain lesions in lupus.
|Lupus Tutorial Data (.tgz) (.zip)
This tutorial teaches how to visualize FreeSurfer segmentations and parcellation maps of the brain.
|FreeSurfer Tutorial Data
|2.1||Programming into Slicer3
This tutorial is intended for engineers and scientists who want to integrate stand-alone programs outside of the Slicer3 source tree.
|2.2||Image Guided Therapy Planning Tutorial
This tutorial takes the trainee through a complete workup for neurosurgical patient specific mapping.See pages 58 to 80 of this tutorial on using the "Simple region growing" segmentation module.
|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 Tutorial
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.
|SPL-PNL Brain Atlas|
|3.3|| SPL Abdominal Atlas Tutorial
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.
|SPL Abdominal Atlas|
|3.4||Using XNAT Desktop and Slicer3 for remote data handling
This tutorial is intended for researchers who wish to upload local datasets to a remote XNAT repository like XNAT Central and retrieve catalog files that can be opened inside Slicer.
|3.5||Harnessing Grid Computational Resources and integration with Slicer through the Grid Wizard Enterprise system
These tutorials are intended for researchers who wish to utilize distributed computational resources.
|Grid Wizard Enterprise||Featured Study Case (YouTube)|
|3.6||YouTube Video: Using "GWE's Record Set Explorer"
This tutorial is intended for researchers who wish to interactively review local or remote datasets; such as input values of parameter exploration experiements, their output results, result sets of XNAT queries or any other type of dataset.
(there you can find: binaries, installation guides, source code, other useful documentation and project related information)
- Category 1 = Basic functionality
- Category 2 = Advanced functionality
- Category 3 = Specialized application packages