Introduction: Slicer 4.0 Tutorials

This page contains "How to" tutorials with matched sample data sets. They demonstrate how to use the 3D Slicer environment (version 4.0 release) to accomplish certain tasks.
For tutorials for other versions of Slicer, please visit the Slicer training portal.
For "reference manual" style documentation, please visit the Slicer 4.0 documentation page
For questions related to the Slicer4 Compendium, please send an e-mail to Sonia Pujol, Ph.D

General Introduction

The SlicerWelcome tutorial is an introduction to Slicer based on the Welcome module.
Author: Sonia Pujol, Ph.D.
Audience: First time users who want a general introduction to the software.

The Slicer4Minute tutorial is a brief introduction to the advanced 3D visualization capabilities of Slicer4.0.
Author: Sonia Pujol, Ph.D.
Audience: First time users who want to discover Slicer in 4 minutes.
The Slicer4Minute dataset contains an MR scan of the brain and 3D reconstructions of the anatomy

The Data loading and 3D visualization course guides through the basics of loading and viewing volumes and 3D models in Slicer4 .
Author: Sonia Pujol, Ph.D.
Audience: End-users
The 3DVisualization dataset contain an MR scan and a series of 3D models of the brain.

The Hello Python Programming tutorial course guides through the integration of a python module in Slicer4.
Author: Sonia Pujol, Ph.D., Steve Pieper, Ph.D.
Audience: Developers
The HelloPython contain three Python files and an MR scan of the brain.

The Diffusion Tensor Imaging Tutorial course guides through the basics of loading Diffusion Weighted images in Slicer, estimating tensors and generating fiber tracts.
Author: Sonia Pujol, Ph.D.
Audience: End-users and developers
The DTI dataset contains an MR Diffusion Weighted Imaging scan of the brain.

The Neurosurgical Planning tutorial course guides through white matter exploration
Author: Sonia Pujol, Ph.D., Ron Kikinis, M.D.
Audience: End-users and developers
The White Matter Exploration datasets contains a Diffusion Weighted Imaging scan of brain tumor patient.

The Slicer4RSNA course guides through 3D data loading and visualization of DICOM images for Radiology Applications in Slicer4.
Author: Sonia Pujol, Ph.D., Kitt Shaffer, M.D., Ph.D.
Audience: Radiologists and users of Slicer who need a more comprehensive overview over Slicer4 visualization capabilities.
The Slicer4RSNAdataset1 and Slicer4RSNAdataset2 contain a series of MR and CT scans, and 3D models of the brain, lung and liver.

The Slicer4 Quantitative Imaging tutorial guides through the use for Slicer for quantifying small volumetric changes in slow-growing tumors, and for calculating Standardized Uptake Value (SUV) from PET/CT data.
Authors: Jeffrey Yap, Ph.D., Ron Kikinis, M.D., Randy Gollub, M.D., Ph.D., Wendy Plesniak, Ph.D., Nicole Aucoin, B.Sc., Sonia Pujol, Ph.D., Valerie Humblet, Ph.D., Andriy Fedorov, Ph.D., Kilian Poh, Ph.D., Ender Konugolu, Ph.D.
Audience: Radiologists and users of Slicer who need a more comprehensive overview over Slicer4 quantitative imaging capabilities.
The PETCTFusion and Change Tracker datasets contain a series of MR, CT and PET data.

This Intro to Slicer4.0 webinar provides an introduction to 3DSlicer, and demonstrates core functionalities such as loading, visualizing and saving data. Basic processing tools, including manual registration, manual segmentation and tractography tools are also highlighted. This course is not an exhaustive or in depth review of all the capabilities of Slicer nor a tutorial for developers.
Authors: Julien Finet, M.S., Steve Pieper, Ph.D., Jean-Christophe Fillion-Robin, M.S.
Audience: First time users interested in a broad overview of Slicer’s features and tools.