Difference between revisions of "Documentation/4.6/Training"

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= 3D Slicer Tutorial contests=
 
= 3D Slicer Tutorial contests=
 +
 +
==Winter 2017 Tutorial contest==
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 +
===Segmentation for 3D printing===
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{|width="100%"
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|
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*The [http://www.na-mic.org/Wiki/images/a/a6/SegmentationFor3DPrinting_TutorialContestWinter2017.pdf Segmentation for 3D printing Tutorial] aims to be an introduction to the new [[Documentation/{{documentation/version}}/Modules/SegmentEditor|Segment Editor]] module, demonstrated through the popular topic of 3D printing.
 +
*Author: Csaba Pinter (Queen's University, Canada)
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*Dataset:  [http://www.na-mic.org/Wiki/images/1/1e/BasePiece.stl Phantom base STL model] Source: [http://perk-software.cs.queensu.ca/plus/doc/nightly/modelcatalog/ PerkLab].
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|align="right"|
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[[File:SlicerWinterProjectWeek2017-Segmentation-for-3d-printing.png | 200px]].
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|}
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===Slicer Pathology===
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{|width="100%"
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|
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*The [[Documentation/{{documentation/version}}/Extensions/SlicerPathology|Slicer Pathology Tutorial]] describes how to use the corresponding tools for automatic and semi-automatic pathology image segmentation.
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*Author: Erich Bremer (Stonybrook), Andriy Fedorov (Brigham and Women’s Hospital)
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*Dataset:  Available directly with the Slicer Pathology Slicer extension.
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|align="right"|
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[[File:SlicerPathologyScreenShot8.png | 200px]].
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|}
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===Simple Python Tool for Quality Control of DWI data===
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{|width="100%"
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|
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*The [http://www.na-mic.org/Wiki/images/3/3a/SimpleDiffusionGradientInformationExtractorTutorial_Chauvin_Jan2017.pptx Simple Multi-shell Diffusion Gradients Information Extractor Tutorial] describes how to use a simple Python script for parsing multi-shell sensitizing gradients information from nifti file format (separated bvecs, bvals files).
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*Author: Laurent Chauvin (ETS Montreal)
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*Dataset:  Not available.
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|align="right"|
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[[File:SlicerWinterProjectWeek2017-SimpleDiffusionGradientInformationExtractorTutorial.png | 200px]].
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|}
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===SPHARM-PDM===
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{|width="100%"
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*The [https://www.nitrc.org/docman/view.php/308/1982/SPHARM-PDM_Tutorial_July2015.pdf SPHARM-PDM Tutorial] describes how to use SPHARM-PDM and ShapePopulationViewer Slicer extensions to respectively compute point-based models using a parametric boundary description for the computing of Shape Analysis and perform the quality control between the different models.
 +
*Author: Jonathan Perdomo (UNC), Beatriz Paniagua (Kitware Inc.)
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*Dataset:  [https://www.nitrc.org/docman/view.php/308/1981/SPHARM_Tutorial_Data_July2015.zip Tutorial Data]
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|align="right"|
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[[File:SlicerWinterProjectWeek2017-SPHARM-PDM.png | 200px]].
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|}
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===Integration of Robot Operating System (ROS) and 3D Slicer using OpenIGTLink===
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{|width="100%"
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|
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*The [https://www.na-mic.org/Wiki/images/a/ab/ROSIGTLTutorial_Tokuda_Jan2017.pptx Integration of Robot Operating System (ROS) and 3D Slicer using OpenIGTLink Tutorial] describes the software architecture of surgical robot systems and allows to acquire hands-on experience of software-hardware integration for medical robotics.
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*Author: Junichi Tokuda (Brigham and Women’s Hospital)
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*Dataset:  Not available.
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|align="right"|
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[[File:SlicerWinterProjectWeek2017-Integration-ROS-3DSlicer-OpenIGTLink.png | 200px]].
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|}
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===Fiber Bundle Volume Measurement===
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{|width="100%"
 +
|
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*The [http://www.na-mic.org/Wiki/images/5/57/Fiber_Bundle_Volume_Measurement.pptx Fiber Bundle Volume Measurement Tutorial] aim is to calculate the volume of the fiber bundle that passes through the Corpus Callosum(CC). Following this tutorial, you’ll be able to (1) convert fiber bundles to label map and (2) calculate volume measurements from the fiber bundles.
 +
*Author: Shun Gong (Shanghai Changzheng Hospital, China)
 +
*Dataset:  [http://www.na-mic.org/Wiki/images/4/4c/FiberVolume_data.zip Tutorial data]: The following data are provided: Baseline image, Down sampled whole brain tractography (conducted as in the [[Documentation/{{documentation/version}}/Training#Slicer4_Diffusion_Tensor_Imaging_Tutorial|DWI tutorial]] and down-sampled to about 10000 fibers using Tractography Display module), Corpus callosum label map (drawn as in the [[Documentation/{{documentation/version}}/Training#Slicer4_Diffusion_Tensor_Imaging_Tutorial|DWI tutorial]]).
 +
|align="right"|
 +
[[File:SlicerWinterProjectWeek2017-FiberBundleVolumeMeasurements.png | 200px]].
 +
|}
 +
  
 
==Winter 2016 Tutorial contest==
 
==Winter 2016 Tutorial contest==

Revision as of 04:15, 21 January 2017

Home < Documentation < 4.6 < Training


For the latest Slicer documentation, visit the read-the-docs.


Introduction: Slicer 4.6 Tutorials

  • This page contains "How to" tutorials with matched sample data sets. They demonstrate how to use the 3D Slicer environment (version 4.6 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 4.6 documentation page
  • For questions related to the Slicer4 Training Compendium, please send an e-mail to Sonia Pujol, Ph.D
  • Some of these tutorials are based on older releases of 3D Slicer. The concepts are still useful but bear in mind that some interface elements and features will be different in updated versions.

Contents

General Introduction

Slicer Welcome Tutorial

  • 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.
  • Modules: Welcome to Slicer, Sample Data
  • Based on: 3D Slicer version 4.5

SlicerWelcome tutorial

Slicer4Minute Tutorial

  • The Slicer4Minute Tutorial is a brief introduction to the advanced 3D visualization capabilities of Slicer 4.5.
  • Author: Sonia Pujol, Ph.D.
  • Audience: First time users who want to discover Slicer in 4 minutes.
  • Modules: Welcome to Slicer, Models
  • Based on: 3D Slicer version 4.5
  • The Slicer4Minute dataset contains an MR scan of the brain and 3D reconstructions of the anatomy
Slicer4Minute tutorial

Slicer4 Data Loading and 3D Visualization

  • 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.
  • Modules: Welcome to Slicer, Sample Data, Models.
  • Audience: End-users
  • Based on: 3D Slicer version 4.5
  • The 3D Visualization dataset contain an MR scan and a series of 3D models of the brain.
Slicer4DataLoading tutorial.png

Tutorials for Software Developers

Slicer4 Programming Tutorial

  • 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
  • Based on: 3D Slicer version 4.5
  • The HelloPython dataset contains three Python files and an MR scan of the brain.
HelloPythonTutorial.png

For additional Python scripts examples, please visit the Script Repository page

Developing and Contributing Extensions for 3D Slicer

  • The Developing and Contributing Extensions for 3D Slicer Tutorial is an introduction to the internals of 3D Slicer and the process of contributing a 3D Slicer extension.
  • Authors: Andrey Fedorov, Ph.D., Jean-Christophe Fillion-Robin, Ph.D., Steve Pieper, Ph.D.
  • Audience: Developers
  • Based on: 3D Slicer version 4.4
Contributing3DSlicerExtension.png

Specific functions

Slicer4 Diffusion Tensor Imaging Tutorial

  • 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
  • Modules: Data, Volumes, DWI to DTI Estimation, Diffusion Tensor Scalar Measurements, Editor, Markups,Tractography Label Map Seeding, Tractography Interactive Seeding
  • Based on: 3D Slicer version 4.5
  • The DTI dataset contains an MR Diffusion Weighted Imaging scan of the brain.
Slicer4DTI Tutorial.png

Slicer4 Neurosurgical Planning Tutorial

  • The Neurosurgical Planning Tutorial course guides through the generation of fiber tracts in the vicinity of a tumor.
  • Author: Sonia Pujol, Ph.D., Ron Kikinis, M.D.
  • Audience: End-users and developers
  • Modules: Volumes, Editor, Tractography Label Map Seeding, Tractography Interactive Seeding
  • Based on: 3D Slicer version 4.5
  • The White Matter Exploration datasets contains a Diffusion Weighted Imaging scan of brain tumor patient.
NeurosurgicalPlanningTutorial.png

Slicer4 3D Visualization of DICOM Images for Radiology Applications

  • The 3D Visualization of DICOM Images for Radiology Applications 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., Ron Kikinis, M.D.
  • Audience: Radiologists and users of Slicer who need a more comprehensive overview over Slicer4 visualization capabilities.
  • Modules: DICOM, Volumes, Volume Rendering, Models.
  • Based on: 3D Slicer version 4.5
  • The 3DVisualizationDICOM_part1 and 3DVisualizationDICOM_part2 datasets contain a series of MR and CT scans, and 3D models of the brain, lung and liver.
Slicer4RSNA 2.png

Slicer4 Quantitative Imaging Tutorial

  • 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: Sonia Pujol, Ph.D., Katarzyna Macura, M.D., Ron Kikinis, M.D.
  • Audience: Radiologists and users of Slicer who need a more comprehensive overview over Slicer4 quantitative imaging capabilities.
  • Modules: Data, Volumes, Models, Change Tracker, PET Standard Uptake Value Computation
  • Based on: 3D Slicer version 4.5
  • The Quantitative Imaging dataset contains a series of MR and PET/CT data.
Slicer4 QuantitativeImaging.png

Slicer4 IGT

  • Slicer IGT Tutorial
  • Authors: Tamas Ungi, M.D, Ph.D., Junichi Tokuda, Ph.D.
  • Audience: End-users interested in using Slicer for real-time navigated procedures. E.g. navigated needle insertions or other minimally invasive medical procedures.
  • Modules: SlicerIGT Extension
  • Based on: Slicer4.3.1-2014.09.14
  • Data: Slicer-IGT datasets
SlicetIGT.png

Slicer4 3D Printing

  • This Slicer 4.3 3D Printing Tutorial shows how to prepare 3D Slicer data for 3D printing.
  • Authors: Nabgha Farhat, MSc
  • Audience: Users and developers interested in 3D printing
 3DPrinting tutorial.png

Slicer4 Image Registration

Registration Slicer4.png
  • Based on: 3D Slicer version 4.5

See the Registration Library for worked out registration examples with data.

Fast GrowCut

  • The Fast GrowCut Tutorial shows how to perform segmentation using the Fast GrowCut effect in Slicer.
  • Author: Hillary Lia
  • Audience: Users interested in segmentation
 FastGrowCutLogo.png


Other

Additional (non-curated) videos-based demonstrations using 3D Slicer are accessible on You Tube.

3D Slicer Tutorial contests

Winter 2017 Tutorial contest

Segmentation for 3D printing

SlicerWinterProjectWeek2017-Segmentation-for-3d-printing.png.

Slicer Pathology

  • The Slicer Pathology Tutorial describes how to use the corresponding tools for automatic and semi-automatic pathology image segmentation.
  • Author: Erich Bremer (Stonybrook), Andriy Fedorov (Brigham and Women’s Hospital)
  • Dataset: Available directly with the Slicer Pathology Slicer extension.

SlicerPathologyScreenShot8.png.

Simple Python Tool for Quality Control of DWI data

SlicerWinterProjectWeek2017-SimpleDiffusionGradientInformationExtractorTutorial.png.

SPHARM-PDM

  • The SPHARM-PDM Tutorial describes how to use SPHARM-PDM and ShapePopulationViewer Slicer extensions to respectively compute point-based models using a parametric boundary description for the computing of Shape Analysis and perform the quality control between the different models.
  • Author: Jonathan Perdomo (UNC), Beatriz Paniagua (Kitware Inc.)
  • Dataset: Tutorial Data

SlicerWinterProjectWeek2017-SPHARM-PDM.png.

Integration of Robot Operating System (ROS) and 3D Slicer using OpenIGTLink

SlicerWinterProjectWeek2017-Integration-ROS-3DSlicer-OpenIGTLink.png.

Fiber Bundle Volume Measurement

  • The Fiber Bundle Volume Measurement Tutorial aim is to calculate the volume of the fiber bundle that passes through the Corpus Callosum(CC). Following this tutorial, you’ll be able to (1) convert fiber bundles to label map and (2) calculate volume measurements from the fiber bundles.
  • Author: Shun Gong (Shanghai Changzheng Hospital, China)
  • Dataset: Tutorial data: The following data are provided: Baseline image, Down sampled whole brain tractography (conducted as in the DWI tutorial and down-sampled to about 10000 fibers using Tractography Display module), Corpus callosum label map (drawn as in the DWI tutorial).

SlicerWinterProjectWeek2017-FiberBundleVolumeMeasurements.png.


Winter 2016 Tutorial contest

Subject Hierarchy

  • The Subject Hierarchy Tutorial demonstrates the basic usage and potential of Slicer’s data manager module Subject Hierarchy using a two time point radiotherapy phantom dataset.
  • Author: Csaba Pinter, Queen's University, Canada
  • Dataset: SlicerRT_WorldCongress_TutorialIGRT_Dataset The tutorial dataset is a two time point phantom dataset taken from a RANDO head&neck phantom. It contains two studies, the planning one is a DICOM study consisting of a CT grayscale image and radiotherapy data: contours, dose distribution, treatment beams, plan information. The second time point consists of a CT NRRD volume and a dose NRRD volume.

SubjectHierarchyTutorial.png.

Fiber Bundle Selection and Scalar Measurements

FiberBundleSelectionAndScalarMeasurement TutorialContestWinter2016 Snapshot.png

Plastimatch

PlastimatchTutorial Winter2016Contest.png

UKF

  • The UKF Tutorial guides through the use of the Unscented Kalman Filter (UKF) tractography module.
  • Author: Pegah Kahali, Brigham and Women's Hospital
  • Dataset: UKF tutorial Dataset

UKF Winter2016.png

Summer 2014 Tutorial contest

Cardiac Agatston Tutorial

CardiacAgatstonMeasuresModuleScreenshot.jpg

CMR Toolkit LA workflow

Utah SummerContest2014 tutorial.png

Summer 2013 Tutorial contest

Cardiac MRI Toolkit

CMRToolkit Tutorial Image.png

HelloCLI

Cli icon.png

SlicerRT

667px-SlicerRT 0.10 IsocenterShiftingEvaluation.png

DTIPrep

DTIPrep-tutorial.png

Summer 2012 Tutorial contest

Automatic Left Atrial Scar Segmenter

Carma afib auto scar.png

Qualitative and Quantitative Comparison of Two RT Dose Distributions

PlastimatchDose.png

Dose Accumulation for Adaptive Radiation Therapy

AdaptiveradiationTherapy.png

WebGL Export

  • WebdGLExport
  • Authors: Nicolas Rannou, Daniel Haehn, Children's Hospital

WebGLExport.png

OpenIGTLink

OpenIGTLink.png

Additional resources

  • This Slicer 4.1 webinar presents the new features and improvements of the release, and a brief overview of work for the next release.
  • Authors: Steve Pieper Ph.D.
  • Audience: First time users and developers interested in Slicer 4.1 new features.
  • Length: 0h20m
 Webinar-Slicer-4.1.png



  • This Intro to Slicer 4.0 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 webinar is a general overview. For in depth information see the modules above and the documentation pages.
  • 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.
  • Length: 1h20m
 Webinar.png



  • The Slicer Registration Case Library provides many real-life example cases of using the Slicer registration tools. They include the dataset and step-by-step instructions to follow and try yourself.
Author: Dominik Meier, Ph.D.
Audience: users interested learning/applying Slicer image registration technology
 RegLib table.png

External Resources

Using the Editor

This set of tutorials about the use of slicer in paleontology is very well written and provides step-by-step instructions. Even though it covers slicer version 3.4, many of the concepts and techniques have applicability to the new version and to any 3D imaging field:

Team Contributions

See the collection of videos on the Kitware vimeo album.

User Contributions

See the User Contributions Page for more content.

YouTube Videos About 3D Slicer

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