Difference between revisions of "Documentation/4.2/Training"

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<noinclude>{{documentation/historicaltraining}}</noinclude>
 
__TOC__
 
__TOC__
  
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[[Image:Slicer4_QuantitativeImaging.png|right|250px|]]
 
[[Image:Slicer4_QuantitativeImaging.png|right|250px|]]
 
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=Summer 2013 Tutorial contest=
  
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==Cardiac MRI Toolkit==
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{|width="100%"
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*[[Media:Cardiac MRI Toolkit Tutorial Summer2013.pdf|Cardiac MRI Toolkit]]
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*Authors:  Salma Bengali, Josh Cates, SCI, Utah
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*Dataset:  [[Media:Cardiac_MRI_Toolkit_Tutorial_Data.zip|Cardiac MRI Toolkit Tutorial Dataset]]
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|align="right"|
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[[Image:CMRToolkit_Tutorial_Image.png|250px]]
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|}
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==HelloCLI==
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{|width="100%"
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*[[Media:Hello_CLI_TutorialContestSummer2013.pdf|HelloCLI]]
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*Authors:  Nadya Shusharina, Greg Sharp, MGH, Boston
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*Dataset:  [[Media:Hello_CLI_TutorialContestSummer2013.zip‎|HelloCLI Dataset]]
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|align="right"|
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[[Image:Cli_icon.png|300px]]
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|}
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==SlicerRT==
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{|width="100%"
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*[[Media:SlicerRT_TutorialContestSummer2013.pdf|SlicerRT Tutorial]]
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*Authors:    Csaba Pinter, Andras Lasso (Queen's), Kevin Wang (PMH, Toronto)
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*Dataset:  [[Media:CsabaPinter-SlicerRtTutorial_Namic2013June.zip|SlicerRT Dataset]]
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|align="right"|
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[[Image:667px-SlicerRT_0.10_IsocenterShiftingEvaluation.png|250px]]
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|}
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==DTIPrep==
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{|width="100%"
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*[[Media:DTIPrep_TutorialContestSummer2013.pdf|DTIPrep]]
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*Authors:    Dave Welch, SINAPSE, IOWA
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*Dataset:  [[Media:DTIPrepData_TutorialContestSummer2013.zip|DTIPrep Dataset]]
  
 
=Summer 2012 Tutorial contest=  
 
=Summer 2012 Tutorial contest=  
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*[http://wiki.slicer.org/slicerWiki/images/f/f1/OpenIGTLinkTutorial_Slicer4.1.0_JunichiTokuda_Apr2012.pdf OpenIGTLink]
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*[http://www.slicer.org/w/img_auth.php/f/f1/OpenIGTLinkTutorial_Slicer4.1.0_JunichiTokuda_Apr2012.pdf OpenIGTLink]
 
*Authors:  Junichi Tokuda, BWH
 
*Authors:  Junichi Tokuda, BWH
 
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* Author: Justin Kirby
 
* Author: Justin Kirby
 
*Audience: Novice 3D Slicer users interested in visualizing prostate segmentations hosted on TCIA.
 
*Audience: Novice 3D Slicer users interested in visualizing prostate segmentations hosted on TCIA.
*Summary: 3D Slicer was used to generate NRRD segmentations of the following prostate components: prostate gland boundary; internal capsule; central gland, peripheral zone; seminal vesicles; urethra; cancer – dominant nodule; neurovascular bundle; penile bulb; ejaculatory duct; veru-montanum; rectum.  These segmentations are currently available for [https://wiki.cancerimagingarchive.net/display/Public/Prostate-Diagnosis 5 subjects from TCIA’s Prostate-Diagnosis image collection].  The [http://www.slicer.org/slicerWiki/index.php/File:ProstateDx-01-0006-1.zip archive] contains both the DICOM images and the NRRD file for one of the 5 available subjects.  
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*Summary: 3D Slicer was used to generate NRRD segmentations of the following prostate components: prostate gland boundary; internal capsule; central gland, peripheral zone; seminal vesicles; urethra; cancer – dominant nodule; neurovascular bundle; penile bulb; ejaculatory duct; veru-montanum; rectum.  These segmentations are currently available for [https://wiki.cancerimagingarchive.net/display/Public/Prostate-Diagnosis 5 subjects from TCIA’s Prostate-Diagnosis image collection].  The [http://www.slicer.org/wiki/File:ProstateDx-01-0006-1.zip archive] contains both the DICOM images and the NRRD file for one of the 5 available subjects.  
 
|align="right"|[[Image:NCIA-prostate.png|250px]]
 
|align="right"|[[Image:NCIA-prostate.png|250px]]
 
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Latest revision as of 22:13, 22 November 2022

Home < Documentation < 4.2 < Training


Introduction: Slicer 4.2 Tutorials

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 Slicer.

SlicerWelcome tutorial

Slicer4Minute Tutorial

  • The Slicer4Minute tutorial is a brief introduction to the advanced 3D visualization capabilities of Slicer 4.0.
  • 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
Slicer4Minute tutorial

Slicer4 Data Loading and 3D Visualization

Slicer4DataLoading tutorial.png

Tutorials for software developers

Slicer4 Programming Tutorial

HelloPythonTutorial.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
  • 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 presented: Main GUI, add data, interactive editor, tractography interactive seeding, tractography display.
  • The White Matter Exploration datasets contains a single tensor Diffusion Tensor data set of a patient with a brain tumor.
NeurosurgicalPlanningTutorial.png

Slicer4 3D Visualization of DICOM images for Radiology Applications

  • 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.
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: 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.
Slicer4 QuantitativeImaging.png

Summer 2013 Tutorial contest

Cardiac MRI Toolkit

CMRToolkit Tutorial Image.png

HelloCLI

Cli icon.png

SlicerRT

667px-SlicerRT 0.10 IsocenterShiftingEvaluation.png

DTIPrep

Summer 2012 Tutorial contest

Automatic Left Atrial Scar Segmenter

Carma afib auto scar.png

Qualitative and quantitative comparison of two RT dose distributions

SynteticDoseDistribution.png

Dose accumulation for adaptive radiation therapy

Wang-DoseAccumulationforAdaptiveRadiationTherapy TutorialContestSummer2012-fig1.png

WebGL Export

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

WebdGLExport.png

OpenIGTLink

OpenIGTLink-Tracking.png

Additional resources

NCIA-prostate.png
  • 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 Banner.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:

User Contributions

See the User Contributions Page for more content.