Difference between revisions of "Documentation/4.10/Training"

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=Introduction: Slicer {{documentation/version}} Tutorials=
 
=Introduction: Slicer {{documentation/version}} Tutorials=
  
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*This page contains "How to" tutorials with matched sample data sets. They demonstrate how to use the 3D Slicer environment (version {{documentation/version}} release) to accomplish certain tasks.  
+
*This page contains "How to" tutorials with matched sample data sets. They demonstrate how to use the 3D Slicer environment (version {{documentation/version}} release) to accomplish certain tasks.
 
*For tutorials for other versions of Slicer, please visit the [[Training| Slicer training portal]].
 
*For tutorials for other versions of Slicer, please visit the [[Training| Slicer training portal]].
 
*For "reference manual" style documentation, please visit the [[Documentation/{{documentation/version}}|Slicer {{documentation/version}} documentation page]]
 
*For "reference manual" style documentation, please visit the [[Documentation/{{documentation/version}}|Slicer {{documentation/version}} documentation page]]
−
*For questions related to 3D Slicer training materials and to the organization of 3D Slicer training workshops, please send an e-mail to '''[http://www.na-mic.org/Wiki/index.php/User:SPujol Sonia Pujol, Ph.D., Director of Training and Education of 3D Slicer.]'''
+
*For questions related to 3D Slicer training materials and to the organization of 3D Slicer training workshops, please send an e-mail to '''[https://scholar.harvard.edu/soniapujol/home Sonia Pujol, Ph.D., Director of Training and Education of 3D Slicer.]'''
  
  
−
* Some of these tutorials are based on older releases of 3D Slicer and are being upgraded to Slicer4.10. The concepts are still useful but some interface elements and features may be different in updated versions.
+
*Some of these tutorials are based on older releases of 3D Slicer and are being upgraded to Slicer4.10. The concepts are still useful but some interface elements and features may be different in updated versions.
  
 
__TOC__
 
__TOC__
  
−
=Quick Start Guide =
+
=Quick Start Guide=
  
 
==Downloading and Installing Slicer==
 
==Downloading and Installing Slicer==
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{|width="100%"
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{| width="100%"
 
|
 
|
 
*The [https://www.dropbox.com/s/gtir3x6e007snkx/QuickStartGuide_3DSlicer_SoniaPujol.pdf?dl=0| Quick Start Guide] shows how to install and start 3D Slicer
 
*The [https://www.dropbox.com/s/gtir3x6e007snkx/QuickStartGuide_3DSlicer_SoniaPujol.pdf?dl=0| Quick Start Guide] shows how to install and start 3D Slicer
 
*Author: Sonia Pujol, Ph.D.
 
*Author: Sonia Pujol, Ph.D.
−
*Based on 3D Slicer 4.8  
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*Based on 3D Slicer 4.8
 
*Compatible with 3D Slicer 4.10.1
 
*Compatible with 3D Slicer 4.10.1
−
|align="right"|
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| align="right" |
 
[[image:QuickStart_image.png|250px|SlicerWelcome tutorial]]
 
[[image:QuickStart_image.png|250px|SlicerWelcome tutorial]]
 
|}
 
|}
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==Slicer Welcome Tutorial==
 
==Slicer Welcome Tutorial==
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{|width="100%"
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{| width="100%"
 
|
 
|
 
*The [https://www.dropbox.com/s/vn8sqlof2kag2kk/SlicerWelcome-tutorial_Slicer4.8_SoniaPujol.pdf?dl=0 Slicer Welcome tutorial] is an introduction to Slicer.
 
*The [https://www.dropbox.com/s/vn8sqlof2kag2kk/SlicerWelcome-tutorial_Slicer4.8_SoniaPujol.pdf?dl=0 Slicer Welcome tutorial] is an introduction to Slicer.
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*Based on 3D Slicer 4.8
 
*Based on 3D Slicer 4.8
 
*Compatible with Slicer 4.10.1
 
*Compatible with Slicer 4.10.1
−
|align="right"|
+
| align="right" |
 
[[image:SlicerWelcome-image.png|250px|SlicerWelcome tutorial]]
 
[[image:SlicerWelcome-image.png|250px|SlicerWelcome tutorial]]
 
|}
 
|}
  
 
==Slicer4Minute Tutorial==
 
==Slicer4Minute Tutorial==
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{|width="100%"
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{| width="100%"
 
|
 
|
 
*The [https://www.dropbox.com/s/v3lyivwgdoro7yn/Slicer4.10minute_SoniaPujol.pdf?dl=0| Slicer4 Minute Tutorial]  is a brief introduction to the advanced 3D visualization capabilities of Slicer.
 
*The [https://www.dropbox.com/s/v3lyivwgdoro7yn/Slicer4.10minute_SoniaPujol.pdf?dl=0| Slicer4 Minute Tutorial]  is a brief introduction to the advanced 3D visualization capabilities of Slicer.
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*Based on Slicer version 4.8
 
*Based on Slicer version 4.8
 
*Compatible with Slicer 4.10.1
 
*Compatible with Slicer 4.10.1
−
*The [[media:Slicer4minute.zip|Slicer4Minute dataset]] contains an MR scan of the brain and 3D reconstructions of the anatomy
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*The [[Media:Slicer4minute.zip|Slicer4Minute dataset]] contains an MR scan of the brain and 3D reconstructions of the anatomy
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|align="right"|
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| align="right" |
 
[[image:Slicer4minute-image.png|250px|right|Slicer4Minute tutorial]]
 
[[image:Slicer4minute-image.png|250px|right|Slicer4Minute tutorial]]
 
|}
 
|}
  
 
=3D Visualization=
 
=3D Visualization=
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==Slicer4 Data Loading and 3D Visualization ==
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==Slicer4 Data Loading and 3D Visualization==
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{|width="100%"
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{| width="100%"
 
|
 
|
  
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* Slicer 4.10
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*Slicer 4.10
−
** The [http://slicer.kitware.com/midas3/download/item/356408/20180430_DataLoadingAndVisualizationTutorial.pdf Data loading and visualization] ([http://slicer.kitware.com/midas3/download/item/356409/20180430_DataLoadingAndVisualizationTutorial.pptx pptx]) course guides through the basics of loading and viewing volumes and 3D models in Slicer 4.10.  
+
**The [http://slicer.kitware.com/midas3/download/item/356408/20180430_DataLoadingAndVisualizationTutorial.pdf Data loading and visualization] ([http://slicer.kitware.com/midas3/download/item/356409/20180430_DataLoadingAndVisualizationTutorial.pptx pptx]) course guides through the basics of loading and viewing volumes and 3D models in Slicer 4.10.
−
** Author: Csaba Pinter
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**Author: Csaba Pinter
−
** Modules: Welcome to Slicer, Data, Volume Rendering, Models.
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**Modules: Welcome to Slicer, Data, Volume Rendering, Models.
−
** Audience: End-users
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**Audience: End-users
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** Based on Slicer 4.9
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**Based on Slicer 4.9
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** Compatible with Slicer 4.10.1
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**Compatible with Slicer 4.10.1
−
** The [http://slicer.kitware.com/midas3/download/?items=330421,1 3DVisualization dataset] contain an MR scan and a series of 3D models of the brain.
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**The [http://slicer.kitware.com/midas3/download/?items=330421,1 3DVisualization dataset] contain an MR scan and a series of 3D models of the brain.
  
−
* Slicer 4.5
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*Slicer 4.5
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** The [[Media:3DDataLoadingandVisualization_Slicer4.5_SoniaPujol.pdf | Data loading and 3D visualization]] course guides through the basics of loading and viewing volumes and 3D models in Slicer 4.5.  
+
**The [[Media:3DDataLoadingandVisualization Slicer4.5 SoniaPujol.pdf| Data loading and 3D visualization]] course guides through the basics of loading and viewing volumes and 3D models in Slicer 4.5.
−
** Author: Sonia Pujol, Ph.D.
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**Author: Sonia Pujol, Ph.D.
−
** Modules: Welcome to Slicer, Sample Data, Models.
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**Modules: Welcome to Slicer, Sample Data, Models.
−
** Audience: End-users
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**Audience: End-users
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** Based on: 3D Slicer version 4.5
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**Based on: 3D Slicer version 4.5
−
** The [http://slicer.kitware.com/midas3/download/?items=330421,1 3DVisualization dataset] contain an MR scan and a series of 3D models of the brain.
+
**The [http://slicer.kitware.com/midas3/download/?items=330421,1 3DVisualization dataset] contain an MR scan and a series of 3D models of the brain.
−
|align="right"|
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| align="right" |
 
[[Image:20180426_DataLoadingAndVisualizationTutorial.png|right|250px|]]
 
[[Image:20180426_DataLoadingAndVisualizationTutorial.png|right|250px|]]
 
[[Image:Slicer4DataLoading_tutorial.png|right|250px|]]
 
[[Image:Slicer4DataLoading_tutorial.png|right|250px|]]
 
|}
 
|}
 
==Slicer4 3D Visualization of DICOM images for Radiology Applications==
 
==Slicer4 3D Visualization of DICOM images for Radiology Applications==
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{|width="100%"
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{| width="100%"
 
|
 
|
−
*The [https://www.dropbox.com/s/8pm5mty2c0zwmyk/3DVisualizationDICOM_Slicer4.10_SoniaPujol.pdf?dl=0 3D Visualization of DICOM images]  course guides through 3D data loading and visualization of DICOM images for Radiology Applications in Slicer4.  
+
*The [https://www.dropbox.com/s/8pm5mty2c0zwmyk/3DVisualizationDICOM_Slicer4.10_SoniaPujol.pdf?dl=0 3D Visualization of DICOM images]  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.
 
*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.
 
*Audience: Radiologists and users of Slicer who need a more comprehensive overview over Slicer4 visualization capabilities.
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*Based on: 3D Slicer version 4.8
 
*Based on: 3D Slicer version 4.8
 
*Compatible with 3D Slicer version 4.10
 
*Compatible with 3D Slicer version 4.10
−
*The [[Media:3DVisualization_DICOM_images_part1.zip‎  | 3DVisualizationDICOM_part1]] and [[Media:3DVisualization_DICOM_images_part2.zip | 3DVisualizationDICOM_part2]] datasets contain a series of MR and CT scans, and 3D models of the brain, lung and liver.
+
*The [[Media:3DVisualization DICOM images part1.zip| 3DVisualizationDICOM_part1]] and [[Media:3DVisualization DICOM images part2.zip| 3DVisualizationDICOM_part2]] datasets contain a series of MR and CT scans, and 3D models of the brain, lung and liver.
−
|align="right"|
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| align="right" |
 
[[Image:Slicer4RSNA_2.png|right|250px|]]
 
[[Image:Slicer4RSNA_2.png|right|250px|]]
 
|}
 
|}
−
==Open Anatomy Browser ==
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==Open Anatomy Browser==
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
[[Image:OABrowser.png|right|250px|]]
 
[[Image:OABrowser.png|right|250px|]]
−
*The [https://www.dropbox.com/s/f2641iu27hif8p4/OpenAnatomyTutorial_SoniaPujol-MikeHalle.pdf?dl=0 Open Anatomy Browser]  tutorial is an introduction to the OABrowser technology for viewing and interacting with atlases.
+
 
 +
*The [https://www.dropbox.com/s/f2641iu27hif8p4/OpenAnatomyTutorial_SoniaPujol-MikeHalle.pdf?dl=0 Open Anatomy Browser]  tutorial is an introduction to the OABrowser technology for viewing and interacting with atlases.
 
*Author: Sonia Pujol, Ph.D., Mike Halle, Ph.D.
 
*Author: Sonia Pujol, Ph.D., Mike Halle, Ph.D.
 
*Audience: End-users
 
*Audience: End-users
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=Tutorials for software developers=
 
=Tutorials for software developers=
  
−
== Slicer4 Programming Tutorial ==
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==Slicer4 Programming Tutorial==
−
{|width="100%"
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{| width="100%"
 
|
 
|
−
*The [https://www.dropbox.com/s/wrhrvvmplosiis1/Slicer4_ProgrammingTutorial_SPujol-SPieper_Nightly.pdf?dl=0# Slicer Programming tutorial] guides through the integration of a python module in Slicer4.  
+
*The [https://www.dropbox.com/s/wrhrvvmplosiis1/Slicer4_ProgrammingTutorial_SPujol-SPieper_Nightly.pdf?dl=0# Slicer Programming tutorial] guides through the integration of a python module in Slicer4.
 
*Author: Sonia Pujol, Ph.D., Steve Pieper, Ph.D.
 
*Author: Sonia Pujol, Ph.D., Steve Pieper, Ph.D.
 
*Audience: Developers
 
*Audience: Developers
 
*Based on: 3D Slicer version 4.7
 
*Based on: 3D Slicer version 4.7
 
*The [https://www.dropbox.com/s/6yxu8qepmvywk0n/HelloPython_Nightly.zip?dl=0 HelloPython dataset] contains sample data set (MR scan of the brain) and complete Python module examples.
 
*The [https://www.dropbox.com/s/6yxu8qepmvywk0n/HelloPython_Nightly.zip?dl=0 HelloPython dataset] contains sample data set (MR scan of the brain) and complete Python module examples.
−
|align="right"|
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| align="right" |
 
[[Image:HelloPythonTutorial.png|right|250px|]]
 
[[Image:HelloPythonTutorial.png|right|250px|]]
 
|}
 
|}
  
−
== PerkLab's Slicer bootcamp training materials ==
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==PerkLab's Slicer bootcamp training materials==
−
{|width="100%"
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{| width="100%"
 
|
 
|
 
*The [http://perk.cs.queensu.ca/ Laboratory for Percutaneous Surgery at Queen's University] has made available training material of its internal yearly bootcamp, covering topics, such as 3D Slicer overview, basic visualization, segmentation, registration, scripting and module development, surgical navigation, DICOM, reproducible medical image computing research methodology, version control, and research project management.
 
*The [http://perk.cs.queensu.ca/ Laboratory for Percutaneous Surgery at Queen's University] has made available training material of its internal yearly bootcamp, covering topics, such as 3D Slicer overview, basic visualization, segmentation, registration, scripting and module development, surgical navigation, DICOM, reproducible medical image computing research methodology, version control, and research project management.
−
** [https://github.com/PerkLab/PerkLabBootcamp/blob/master/Doc/day3_2_SlicerProgramming.pptx?raw=true Scripting and module development tutorial]
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**[https://github.com/PerkLab/PerkLabBootcamp/blob/master/Doc/day3_2_SlicerProgramming.pptx?raw=true Scripting and module development tutorial]
−
** [https://github.com/PerkLab/PerkLabBootcamp/tree/master/Doc All other tutorials]
+
**[https://github.com/PerkLab/PerkLabBootcamp/tree/master/Doc All other tutorials]
 
*Author: Andras Lasso, Csaba Pinter, Tamas Ungi, Csaba Pinter, Matthew Holden, Kyle Sunderland
 
*Author: Andras Lasso, Csaba Pinter, Tamas Ungi, Csaba Pinter, Matthew Holden, Kyle Sunderland
 
*Audience: Developers, Users
 
*Audience: Developers, Users
 
*Based on: 3D Slicer version 4.8
 
*Based on: 3D Slicer version 4.8
−
|align="right"|
+
| align="right" |
 
[[Image:PerkLabSlicerProgrammingTutorial.png|right|250px|]]
 
[[Image:PerkLabSlicerProgrammingTutorial.png|right|250px|]]
 
|}
 
|}
  
−
== Slicer script repository ==
+
==Slicer script repository==
  
 
For additional Python scripts examples, please visit the [[Documentation/{{documentation/version}}/ScriptRepository|Script Repository page]]
 
For additional Python scripts examples, please visit the [[Documentation/{{documentation/version}}/ScriptRepository|Script Repository page]]
  
 
==Developing and contributing extensions for 3D Slicer==
 
==Developing and contributing extensions for 3D Slicer==
−
{|width="100%"
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{| width="100%"
 
|
 
|
−
*The [http://goo.gl/IP4cdg 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.
+
*The [http://goo.gl/IP4cdg 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, Jean-Christophe Fillion-Robin, Steve Pieper
 
*Authors: Andrey Fedorov, Jean-Christophe Fillion-Robin, Steve Pieper
 
*Audience: Developers
 
*Audience: Developers
 
*Based on: 3D Slicer version 4.4
 
*Based on: 3D Slicer version 4.4
−
|align="right"|
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| align="right" |
 
[[Image:Contributing3DSlicerExtension.png|right|250px|]]
 
[[Image:Contributing3DSlicerExtension.png|right|250px|]]
 
|}
 
|}
  
 
=Segmentation=
 
=Segmentation=
−
== Slicer4 Image Segmentation ==
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==Slicer4 Image Segmentation==
  
−
{|width="100%"
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{| width="100%"
 
|
 
|
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* Segmentation for 3D printing: shows how to use the Segment Editor module for combining CAD designed parts with patient-specific models.
+
*Segmentation for 3D printing: shows how to use the Segment Editor module for combining CAD designed parts with patient-specific models.
−
** '''[[Documentation/{{documentation/version}}/Training#Segmentation_for_3D_printing|Segmentation for 3D printing Step-by-step tutorial]]'''. Author: Csaba Pinter, MSc
+
**'''[[Documentation/{{documentation/version}}/Training#Segmentation_for_3D_printing|Segmentation for 3D printing Step-by-step tutorial]]'''. Author: Csaba Pinter, MSc
−
** Audience: Users and developers interested in segmentation and 3D printing
+
**Audience: Users and developers interested in segmentation and 3D printing
−
** Based on: 3D Slicer version 4.7
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**Based on: 3D Slicer version 4.7
−
|align="right"|[[Image:20170717_3DPrintingTutorialYoutube.PNG|280px]]
+
| align="right" |[[Image:20170717_3DPrintingTutorialYoutube.PNG|280px]]
 
|---
 
|---
 
|
 
|
−
* '''[https://youtu.be/BJoIexIvtGo Video tutorial: Whole heart segmentation from cardiac CT]''' shows how to use the Segment Editor module for segmenting heart ventricles, atria, and great vessels from cardiac CT volumes.
+
*'''[https://youtu.be/BJoIexIvtGo Video tutorial: Whole heart segmentation from cardiac CT]''' shows how to use the Segment Editor module for segmenting heart ventricles, atria, and great vessels from cardiac CT volumes.
−
** Author: Andras Lasso, PhD
+
**Author: Andras Lasso, PhD
−
** Audience: Users who need to segment heart structures, for example for visualization, quantification, or simulation.
+
**Audience: Users who need to segment heart structures, for example for visualization, quantification, or simulation.
−
** [http://slicer.kitware.com/midas3/download/bitstream/738905/CTA-cardio2.nrrd Sample data set]
+
**[http://slicer.kitware.com/midas3/download/bitstream/738905/CTA-cardio2.nrrd Sample data set]
−
** Based on: 3D Slicer version 4.8
+
**Based on: 3D Slicer version 4.8
−
|align="right"|[[Image:WholeHeartSegYoutube.png|280px]]
+
| align="right" |[[Image:WholeHeartSegYoutube.png|280px]]
 
|}
 
|}
  
 
=Registration=
 
=Registration=
  
−
== Slicer4 Image Registration ==
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==Slicer4 Image Registration==
  
−
{|width="100%"
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{| width="100%"
 
|
 
|
 
*The [https://www.dropbox.com/s/chrugp2j2as5gop/ImageRegistration_Slicer4.8_SoniaPujol.pdf?dl=0 Registration tutorial] shows how to perform intra- and inter-subject registration within Slicer.
 
*The [https://www.dropbox.com/s/chrugp2j2as5gop/ImageRegistration_Slicer4.8_SoniaPujol.pdf?dl=0 Registration tutorial] shows how to perform intra- and inter-subject registration within Slicer.
−
* Authors: Sonia Pujol, Ph.D., Dominik Meier, Ph.D., Ron Kikinis, M.D.
+
*Authors: Sonia Pujol, Ph.D., Dominik Meier, Ph.D., Ron Kikinis, M.D.
−
* Audience: Users and developers interested in image registration
+
*Audience: Users and developers interested in image registration
−
* Dataset: [[Media:RegistrationData.zip | 3D Slicer Registration Data]]
+
*Dataset: [[Media:RegistrationData.zip| 3D Slicer Registration Data]]
−
|align="right"|[[File:registration_Slicer4.png|250px]]
+
| align="right" |[[File:registration_Slicer4.png|250px]]
 
|}
 
|}
 +
 
*Based on: 3D Slicer version 4.8; Compatible with Slicer 4.10
 
*Based on: 3D Slicer version 4.8; Compatible with Slicer 4.10
−
{|width="100%"
+
 
 +
{| width="100%"
 
|
 
|
 
*The [https://spujol.github.io/3DSlicerTutorial-Registration Brain Tumor Registration] is a video-based tutorial that shows how to register two MRI datasets in a brain tumor case for surgical resection follow-up.
 
*The [https://spujol.github.io/3DSlicerTutorial-Registration Brain Tumor Registration] is a video-based tutorial that shows how to register two MRI datasets in a brain tumor case for surgical resection follow-up.
−
* Authors: Sonia Pujol, Ph.D., Dominik Meier, Ph.D.
+
*Authors: Sonia Pujol, Ph.D., Dominik Meier, Ph.D.
−
* Audience: Users and developers interested in image registration
+
*Audience: Users and developers interested in image registration
−
* Dataset: [[Media:RegLib_C37_Data.zip | Registration Library Case #37]]
+
*Dataset: [[Special:FilePath/RegLib C37 Data.zip| Registration Library Case #37]]
−
|align="right"|[[File:RigidRegistration.jpg|250px]]
+
| align="right" |[[File:RigidRegistration.jpg|250px]]
 
|}
 
|}
 +
 
*Based on: 3D Slicer version 4.10
 
*Based on: 3D Slicer version 4.10
  
−
== Slicer Registration Case Library==
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==Slicer Registration Case Library==
−
{|width="100%"
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{| width="100%"
 
|
 
|
−
*The ''[[Documentation/{{documentation/version}}/Registration/RegistrationLibrary|Slicer Registration Case Library]]'' provides real-life example cases of using the Slicer registration tools. They include pre-computed dataset and step-by-step instructions for users to follow.  
+
*The ''[[Documentation/{{documentation/version}}/Registration/RegistrationLibrary|Slicer Registration Case Library]]'' provides real-life example cases of using the Slicer registration tools. They include pre-computed dataset and step-by-step instructions for users to follow.
 +
 
 
:Author: Dominik Meier, Ph.D.
 
:Author: Dominik Meier, Ph.D.
 
:Audience:  users interested learning/applying Slicer image registration technology
 
:Audience:  users interested learning/applying Slicer image registration technology
−
|align="right"|[[Image:RegLib_table.png|250px|link=http://wiki.slicer.org/wiki/Documentation/{{documentation/version}}/Registration/RegistrationLibrary]]
+
| align="right" |[[Image:RegLib_table.png|250px|link=http://wiki.slicer.org/wiki/Documentation/{{documentation/version}}/Registration/RegistrationLibrary]]
 
|}
 
|}
  
−
== Image Phenotyping==
+
==Image Phenotyping==
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*Based on: 3D Slicer version 4.10
 
*Based on: 3D Slicer version 4.10
 
*The [https://www.dropbox.com/s/lg417kr754fo6ji/ImagePhenotypingTutorial_SoniaPujol.pdf?dl=0 Image Phenotyping tutorial] is an introduction to image phenotyping using the Slicer Radiomics extension..
 
*The [https://www.dropbox.com/s/lg417kr754fo6ji/ImagePhenotypingTutorial_SoniaPujol.pdf?dl=0 Image Phenotyping tutorial] is an introduction to image phenotyping using the Slicer Radiomics extension..
−
* Authors: Sonia Pujol, Ph.D.
+
*Authors: Sonia Pujol, Ph.D.
−
* Audience: Clinical researchers
+
*Audience: Clinical researchers
−
* Dataset: [https://www.dropbox.com/s/hdlduw6oqnf2n72/Meningioma.nrrd?dl=0 Meningioma dataset]
+
*Dataset: [https://www.dropbox.com/s/hdlduw6oqnf2n72/Meningioma.nrrd?dl=0 Meningioma dataset]
−
|align="right"|[[File:ImagePhenotyping.png|250px]]
+
| align="right" |[[File:ImagePhenotyping.png|250px]]
  
 
|}
 
|}
  
 
=Slicer Extensions=
 
=Slicer Extensions=
−
==Slicer4 Diffusion Tensor Imaging Tutorial ==
+
==Slicer4 Diffusion Tensor Imaging Tutorial==
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*Please visit [http://dmri.slicer.org/docs/ dmri.slicer.org/docs] for the latest documentation of SlicerDMRI.
 
*Please visit [http://dmri.slicer.org/docs/ dmri.slicer.org/docs] for the latest documentation of SlicerDMRI.
−
*The [https://www.dropbox.com/s/m7rzeblbdzr49bc/DiffusionMRIAnalysis_Slicer4.8_SoniaPujol.pdf?dl=0| Diffusion Tensor Imaging]  course is an introduction to the basics of loading Diffusion Weighted images in Slicer, estimating tensors and generating fiber tracts.  
+
*The [https://www.dropbox.com/s/m7rzeblbdzr49bc/DiffusionMRIAnalysis_Slicer4.8_SoniaPujol.pdf?dl=0| Diffusion Tensor Imaging]  course is an introduction to the basics of loading Diffusion Weighted images in Slicer, estimating tensors and generating fiber tracts.
 
*Author: Sonia Pujol, Ph.D.
 
*Author: Sonia Pujol, Ph.D.
 
*Audience: End-users and developers
 
*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
 
*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 4.8
 
*Based on: 3D Slicer version 4.8
−
*The [[media:Dti tutorial data.zip|DTI dataset]] contains an MR Diffusion Weighted Imaging scan of the brain.
+
*The [[Media:Dti tutorial data.zip|DTI dataset]] contains an MR Diffusion Weighted Imaging scan of the brain.
−
|align="right"|
+
| align="right" |
 
[[Image:Slicer4DTI Tutorial.png|right|250px|]]
 
[[Image:Slicer4DTI Tutorial.png|right|250px|]]
 
|}
 
|}
  
 
==Slicer4 Neurosurgical Planning Tutorial==
 
==Slicer4 Neurosurgical Planning Tutorial==
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*The [https://spujol.github.io/NeurosurgicalPlanningTutorial/ Neurosurgical Planning tutorial] course guides end-users through the generation of fiber tracts in the vicinity of a tumor.
 
*The [https://spujol.github.io/NeurosurgicalPlanningTutorial/ Neurosurgical Planning tutorial] course guides end-users through the generation of fiber tracts in the vicinity of a tumor.
 
*Author: Sonia Pujol, Ph.D., Ron Kikinis, M.D.
 
*Author: Sonia Pujol, Ph.D., Ron Kikinis, M.D.
 
*Audience: Clinicians and Clinical Researchers
 
*Audience: Clinicians and Clinical Researchers
−
*Modules: Segment Editor, Tractography  
+
*Modules: Segment Editor, Tractography
 
*Based on 3D Slicer version 4.10
 
*Based on 3D Slicer version 4.10
 
*The [[Media:WhiteMatterExplorationData.zip| White Matter Exploration dataset]] contains a Diffusion Weighted Imaging scan of a brain tumor patient.
 
*The [[Media:WhiteMatterExplorationData.zip| White Matter Exploration dataset]] contains a Diffusion Weighted Imaging scan of a brain tumor patient.
−
|align="right"|
+
| align="right" |
 
[[Image:NeurosurgicalPlanningTutorial.png|right|250px|link=http://vimeo.com/67336069]]
 
[[Image:NeurosurgicalPlanningTutorial.png|right|250px|link=http://vimeo.com/67336069]]
 
|}
 
|}
  
 
==Slicer4 Quantitative Imaging tutorial==
 
==Slicer4 Quantitative Imaging tutorial==
−
{|width="100%"
+
{| width="100%"
 
|
 
|
−
*The [[media:QuantitativeImaging_Slicer4.5.pdf‎ | 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.
+
*The [[Media:QuantitativeImaging Slicer4.5.pdf| 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.
 
*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.
 
*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
 
*Modules: Data, Volumes, Models, Change Tracker, PET Standard Uptake Value Computation
 
*Based on: 3D Slicer version 4.5
 
*Based on: 3D Slicer version 4.5
−
*The [[media:QuantitativeImaging.zip‎| Quantitative Imaging dataset]]  contains a series of MR and PET/CT data.
+
*The [[Media:QuantitativeImaging.zip| Quantitative Imaging dataset]]  contains a series of MR and PET/CT data.
−
|align="right"|
+
| align="right" |
 
[[Image:Slicer4_QuantitativeImaging.png|right|250px|]]
 
[[Image:Slicer4_QuantitativeImaging.png|right|250px|]]
 
|}
 
|}
  
−
== Slicer4 IGT ==
+
==Slicer4 IGT==
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*[http://www.slicerigt.org/wp/user-tutorial/ Slicer IGT tutorials]
 
*[http://www.slicerigt.org/wp/user-tutorial/ Slicer IGT tutorials]
Line 256: Line 261:
 
*Modules: SlicerIGT Extension
 
*Modules: SlicerIGT Extension
 
*Based on: Slicer4.3.1-2014.09.14
 
*Based on: Slicer4.3.1-2014.09.14
−
*Data: [https://onedrive.live.com/redir?resid=7230D4DEC6058018!2937&authkey=!AGQkSCZOwjVYXw8&ithint=folder%2cpptx Slicer-IGT datasets]
+
*Data: [https://onedrive.live.com/redir?resid=7230D4DEC6058018!2937&authkey=!AGQkSCZOwjVYXw8&ithint=folder%2cpptx Slicer-IGT datasets]
−
|align="right"|
+
| align="right" |
 
[[Image:SlicetIGT.png|right|150px|]]
 
[[Image:SlicetIGT.png|right|150px|]]
 
|}
 
|}
  
  
−
==Slicer4 Radiation Therapy Tutorial ==
+
==Slicer4 Radiation Therapy Tutorial==
  
−
{|width="100%"
+
{| width="100%"
 
|
 
|
−
* The [https://github.com/SlicerRt/SlicerRtDoc/raw/master/tutorials/SlicerRT_WorldCongress_TutorialIGRT.pdf SlicerRT tutorial] is an introduction to the Radiation Therapy functionalities of Slicer.
+
*The [https://github.com/SlicerRt/SlicerRtDoc/raw/master/tutorials/SlicerRT_WorldCongress_TutorialIGRT.pdf SlicerRT tutorial] is an introduction to the Radiation Therapy functionalities of Slicer.
−
* Author: Csaba Pinter, Andras Lasso, An Wang, Gregory C. Sharp, David Jaffray, Gabor Fichtinger.  
+
*Author: Csaba Pinter, Andras Lasso, An Wang, Gregory C. Sharp, David Jaffray, Gabor Fichtinger.
−
* Dataset: [http://slicer.kitware.com/midas3/download/item/205404/SlicerRT_WorldCongress_TutorialIGRT_Dataset.zip download] from MIDAS server
+
*Dataset: [http://slicer.kitware.com/midas3/download/item/205404/SlicerRT_WorldCongress_TutorialIGRT_Dataset.zip download] from MIDAS server
−
* Based on Slicer 4.7
+
*Based on Slicer 4.7
−
|align="right"|
+
| align="right" |
 
<!-- [[Image:TUTORIAL-IMAGE-HERE.png|right|150px|]] -->
 
<!-- [[Image:TUTORIAL-IMAGE-HERE.png|right|150px|]] -->
 
|}
 
|}
Line 276: Line 281:
  
 
==Slicer Pathology==
 
==Slicer Pathology==
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*The [[Documentation/{{documentation/version}}/Extensions/SlicerPathology|Slicer Pathology Tutorial]] describes how to use the corresponding tools for automatic and semi-automatic pathology image segmentation.
 
*The [[Documentation/{{documentation/version}}/Extensions/SlicerPathology|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)
 
*Author: Erich Bremer (Stonybrook), Andriy Fedorov (Brigham and Women’s Hospital)
 
*Dataset:  Available directly with the Slicer Pathology Slicer extension.
 
*Dataset:  Available directly with the Slicer Pathology Slicer extension.
−
|align="right"|
+
| align="right" |
 
[[File:SlicerPathologyScreenShot8.png | 200px]].  
 
[[File:SlicerPathologyScreenShot8.png | 200px]].  
 
|}
 
|}
  
 
==SPHARM-PDM==
 
==SPHARM-PDM==
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*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.
 
*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.)
 
*Author: Jonathan Perdomo (UNC), Beatriz Paniagua (Kitware Inc.)
 
*Dataset:  [https://www.nitrc.org/docman/view.php/308/1981/SPHARM_Tutorial_Data_July2015.zip Tutorial Data]
 
*Dataset:  [https://www.nitrc.org/docman/view.php/308/1981/SPHARM_Tutorial_Data_July2015.zip Tutorial Data]
−
|align="right"|
+
| align="right" |
 
[[File:SlicerWinterProjectWeek2017-SPHARM-PDM.png | 200px]].  
 
[[File:SlicerWinterProjectWeek2017-SPHARM-PDM.png | 200px]].  
 
|}
 
|}
  
 
==Fiber Bundle Volume Measurement==
 
==Fiber Bundle Volume Measurement==
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*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.
 
*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)
 
*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]]).
 
*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"|
+
| align="right" |
 
[[File:SlicerWinterProjectWeek2017-FiberBundleVolumeMeasurements.png | 200px]].  
 
[[File:SlicerWinterProjectWeek2017-FiberBundleVolumeMeasurements.png | 200px]].  
 
|}
 
|}
  
−
= 3D Slicer version 4.7 Tutorial Contest=
+
=3D Slicer version 4.7 Tutorial Contest=
  
 
For previous editions of the contest, please visit the [https://na-mic.org/wiki/Tutorial_Contests 3D Slicer Tutorial Contests page]
 
For previous editions of the contest, please visit the [https://na-mic.org/wiki/Tutorial_Contests 3D Slicer Tutorial Contests page]
  
 
===Segmentation for 3D printing===
 
===Segmentation for 3D printing===
−
{|width="100%"
+
{| width="100%"
 
|
 
|
−
*The [https://github.com/SlicerRt/SlicerRtDoc/raw/master/tutorials/SegmentationFor3DPrinting_TutorialContestWinter2017.pdf Segmentation for 3D printing Tutorial] ([https://github.com/SlicerRt/SlicerRtDoc/raw/master/tutorials/SegmentationFor3DPrinting_TutorialContestWinter2017.pptx pptx]) is an introduction to the new [[Documentation/{{documentation/version}}/Modules/SegmentEditor|Segment Editor]] module, demonstrated through the popular topic of 3D printing.  
+
*The [https://github.com/SlicerRt/SlicerRtDoc/raw/master/tutorials/SegmentationFor3DPrinting_TutorialContestWinter2017.pdf Segmentation for 3D printing Tutorial] ([https://github.com/SlicerRt/SlicerRtDoc/raw/master/tutorials/SegmentationFor3DPrinting_TutorialContestWinter2017.pptx pptx]) is 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)
 
*Author: Csaba Pinter (Queen's University, Canada)
−
* [https://www.youtube.com/watch?v=Uht6Fwtr9hE Narrated video version on YouTube].
+
*[https://www.youtube.com/watch?v=Uht6Fwtr9hE Narrated video version on YouTube].
 
*Dataset: [[:File:BasePiece.zip|Phantom base STL model]] Source: [http://perk-software.cs.queensu.ca/plus/doc/nightly/modelcatalog/ PerkLab].
 
*Dataset: [[:File:BasePiece.zip|Phantom base STL model]] Source: [http://perk-software.cs.queensu.ca/plus/doc/nightly/modelcatalog/ PerkLab].
−
|align="right"|
+
| align="right" |
 
[[File:SlicerWinterProjectWeek2017-Segmentation-for-3d-printing.png | 200px]].  
 
[[File:SlicerWinterProjectWeek2017-Segmentation-for-3d-printing.png | 200px]].  
 
|}
 
|}
  
 
===Slicer Pathology===
 
===Slicer Pathology===
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*The [[Documentation/{{documentation/version}}/Extensions/SlicerPathology|Slicer Pathology Tutorial]] describes how to use the corresponding tools for automatic and semi-automatic pathology image segmentation.
 
*The [[Documentation/{{documentation/version}}/Extensions/SlicerPathology|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)
 
*Author: Erich Bremer (Stonybrook), Andriy Fedorov (Brigham and Women’s Hospital)
 
*Dataset:  Available directly with the Slicer Pathology Slicer extension.
 
*Dataset:  Available directly with the Slicer Pathology Slicer extension.
−
|align="right"|
+
| align="right" |
 
[[File:SlicerPathologyScreenShot8.png | 200px]].  
 
[[File:SlicerPathologyScreenShot8.png | 200px]].  
 
|}
 
|}
  
 
===Simple Python Tool for Quality Control of DWI data===
 
===Simple Python Tool for Quality Control of DWI data===
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*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).
 
*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).
 
*Author: Laurent Chauvin (ETS Montreal)
 
*Author: Laurent Chauvin (ETS Montreal)
 
*Dataset:  Not available.
 
*Dataset:  Not available.
−
|align="right"|
+
| align="right" |
 
[[File:SlicerWinterProjectWeek2017-SimpleDiffusionGradientInformationExtractorTutorial.png | 200px]].  
 
[[File:SlicerWinterProjectWeek2017-SimpleDiffusionGradientInformationExtractorTutorial.png | 200px]].  
 
|}
 
|}
  
 
===SPHARM-PDM===
 
===SPHARM-PDM===
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*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.
 
*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.)
 
*Author: Jonathan Perdomo (UNC), Beatriz Paniagua (Kitware Inc.)
 
*Dataset:  [https://www.nitrc.org/docman/view.php/308/1981/SPHARM_Tutorial_Data_July2015.zip Tutorial Data]
 
*Dataset:  [https://www.nitrc.org/docman/view.php/308/1981/SPHARM_Tutorial_Data_July2015.zip Tutorial Data]
−
|align="right"|
+
| align="right" |
 
[[File:SlicerWinterProjectWeek2017-SPHARM-PDM.png | 200px]].  
 
[[File:SlicerWinterProjectWeek2017-SPHARM-PDM.png | 200px]].  
 
|}
 
|}
  
 
===Integration of Robot Operating System (ROS) and 3D Slicer using OpenIGTLink===
 
===Integration of Robot Operating System (ROS) and 3D Slicer using OpenIGTLink===
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*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.
 
*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.
 
*Author: Junichi Tokuda (Brigham and Women’s Hospital)
 
*Author: Junichi Tokuda (Brigham and Women’s Hospital)
 
*Dataset:  Not available.
 
*Dataset:  Not available.
−
|align="right"|
+
| align="right" |
 
[[File:SlicerWinterProjectWeek2017-Integration-ROS-3DSlicer-OpenIGTLink.png | 200px]].  
 
[[File:SlicerWinterProjectWeek2017-Integration-ROS-3DSlicer-OpenIGTLink.png | 200px]].  
 
|}
 
|}
  
 
===Fiber Bundle Volume Measurement===
 
===Fiber Bundle Volume Measurement===
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*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.
 
*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)
 
*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]]).
 
*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"|
+
| align="right" |
 
[[File:SlicerWinterProjectWeek2017-FiberBundleVolumeMeasurements.png | 200px]].  
 
[[File:SlicerWinterProjectWeek2017-FiberBundleVolumeMeasurements.png | 200px]].  
 
|}
 
|}
Line 372: Line 377:
 
=YouTube videos=
 
=YouTube videos=
 
{| border="1" cellpadding="5" width="1200px"
 
{| border="1" cellpadding="5" width="1200px"
−
| style="width:25%" | [[Image:Verterbra.png|right|250px|]] [https://www.youtube.com/watch?v=Uht6Fwtr9hE How to segment multiple vertebrae in spine CT for 3D printing - Author: Hillary Lia]
+
| style="width:25%" |[[Image:Verterbra.png|right|250px|]] [https://www.youtube.com/watch?v=Uht6Fwtr9hE How to segment multiple vertebrae in spine CT for 3D printing - Author: Hillary Lia]
−
| style="width:25%" | [[Image:Femurmodel.png|right|250px|]] [https://www.youtube.com/watch?v=0at15gjk-Ns Creating a femur model from CT volume using 3D Slicer - Author: Nabgha Farhat ]
+
| style="width:25%" |[[Image:Femurmodel.png|right|250px|]] [https://www.youtube.com/watch?v=0at15gjk-Ns Creating a femur model from CT volume using 3D Slicer - Author: Nabgha Farhat]
−
| style="width:25%" | [[Image:3DPrinting.png|right|250px|]] [https://www.youtube.com/watch?v=MKLWzD0PiIc Preparing data for 3D printing - Author: PerkLab ]
+
| style="width:25%" |[[Image:3DPrinting.png|right|250px|]] [https://www.youtube.com/watch?v=MKLWzD0PiIc Preparing data for 3D printing - Author: PerkLab]
−
| style="width:25%" | [[Image:DICOM2.png|right|250px|]] [https://www.youtube.com/watch?v=nzWf4xHy1BM& How to export CT and segmentation data to DICOM- Author: Andras Lasso, Csaba Pinter]
+
| style="width:25%" |[[Image:DICOM2.png|right|250px|]] [https://www.youtube.com/watch?v=nzWf4xHy1BM& How to export CT and segmentation data to DICOM- Author: Andras Lasso, Csaba Pinter]
 
|-
 
|-
 
|}
 
|}
Line 381: Line 386:
 
Additional [http://www.youtube.com/results?search_query=3d+slicer&sm=3 non-curated videos-based demonstrations using 3D Slicer are accessible on YouTube].
 
Additional [http://www.youtube.com/results?search_query=3d+slicer&sm=3 non-curated videos-based demonstrations using 3D Slicer are accessible on YouTube].
  
−
=Teams Contributions =
+
=Teams Contributions=
−
{|width="100%"
+
{| width="100%"
 
|
 
|
−
* This ''Slicer 4.1 [http://vimeo.com/41096643 webinar]'' presents the new features and improvements of the release, and a brief overview of work for the next release.
+
*This ''Slicer 4.1 [http://vimeo.com/41096643 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.
+
*Authors: Steve Pieper Ph.D.
−
* Audience: First time users and developers interested in Slicer 4.1 new features.
+
*Audience: First time users and developers interested in Slicer 4.1 new features.
−
* Length: 0h20m
+
*Length: 0h20m
−
|align="right"|[[Image:Webinar-Slicer-4.1.png|250px]]
+
| align="right" |[[Image:Webinar-Slicer-4.1.png|250px]]
 
|}
 
|}
 
<br>
 
<br>
 
----
 
----
 
<br>
 
<br>
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
*This ''Intro to Slicer 4.0 [http://vimeo.com/37671358 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.
 
*This ''Intro to Slicer 4.0 [http://vimeo.com/37671358 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.  
+
*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.
 
*Audience: First time users interested in a broad overview of Slicer’s features and tools.
 
*Length: 1h20m
 
*Length: 1h20m
−
|align="right"|[[Image:Webinar.png|250px]]
+
| align="right" |[[Image:Webinar.png|250px]]
 
|}
 
|}
 
<br>
 
<br>
 
----
 
----
 
<br>
 
<br>
−
== International resources==
+
==International resources==
  
−
==Resources in Chinese ==
+
==Resources in Chinese==
−
{|width="100%"
+
{| width="100%"
 
|
 
|
 
A 3D Slicer community on WeChat in China offers many tutorials and clinical examples in Chinese.  Note that the images are of interest to non-Chinese speakers and Google Translate does a reasonable job of translating some of the text.
 
A 3D Slicer community on WeChat in China offers many tutorials and clinical examples in Chinese.  Note that the images are of interest to non-Chinese speakers and Google Translate does a reasonable job of translating some of the text.
  
−
* [https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247486116&idx=1&sn=772e9d431ac32cbb73d08cf0e6bc219a&chksm=eacc0096ddbb89805d93ac4be181d1a35058031bac673d7a91b3b44dccee2bfd1d8461397635#rd Getting started 大脑前动脉远端动脉瘤手术夹闭治疗]
+
*[https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247486116&idx=1&sn=772e9d431ac32cbb73d08cf0e6bc219a&chksm=eacc0096ddbb89805d93ac4be181d1a35058031bac673d7a91b3b44dccee2bfd1d8461397635#rd Getting started 大脑前动脉远端动脉瘤手术夹闭治疗]
  
−
* [https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247484787&idx=1&sn=1f6279bdccab168fc79b7275e9fe91ca&chksm=eacc0f41ddbb8657be92f617661133d87bb55a4ecf12f786e97a8b7d5249a05d11e0cd620c3f#rd distal anterior cerebral artery aneurysm 3D Slicer：漂亮得不像实力派]
+
*[https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247484787&idx=1&sn=1f6279bdccab168fc79b7275e9fe91ca&chksm=eacc0f41ddbb8657be92f617661133d87bb55a4ecf12f786e97a8b7d5249a05d11e0cd620c3f#rd distal anterior cerebral artery aneurysm 3D Slicer：漂亮得不像实力派]
  
−
* [https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247486360&idx=1&sn=f833b13a26f543aa9175419a03df7f52&chksm=eacc01aaddbb88bcb004773a4db8a9b3c7633d21cda3956f84b96515252eb861c5eb1e75a60b&mpshare=1&scene=24&srcid=0212LIfOkBRm9CvA7ImHCpRt#rd meningioma skull resection 脑膜瘤患者颅骨切除一期修补的3DSlicer方案]
+
*[https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247486360&idx=1&sn=f833b13a26f543aa9175419a03df7f52&chksm=eacc01aaddbb88bcb004773a4db8a9b3c7633d21cda3956f84b96515252eb861c5eb1e75a60b&mpshare=1&scene=24&srcid=0212LIfOkBRm9CvA7ImHCpRt#rd meningioma skull resection 脑膜瘤患者颅骨切除一期修补的3DSlicer方案]
  
−
* [https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247486079&idx=1&sn=9b926dc398a408e3441082b9e0ffde61&chksm=eacc004dddbb895bf9b60f5f1bc443513196e4cb90a6caf6f348a4da7b7fc22eb658661aeb49&mpshare=1&scene=24&srcid=0212AFtT2Wq7K7bvkMGTdyih#rd Cerebral hemorrhage by forehead positioning method 脑出血经额手术定位法（五 ]
+
*[https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247486079&idx=1&sn=9b926dc398a408e3441082b9e0ffde61&chksm=eacc004dddbb895bf9b60f5f1bc443513196e4cb90a6caf6f348a4da7b7fc22eb658661aeb49&mpshare=1&scene=24&srcid=0212AFtT2Wq7K7bvkMGTdyih#rd Cerebral hemorrhage by forehead positioning method 脑出血经额手术定位法（五]
  
−
* [https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247485356&idx=1&sn=044f5899b651b35994db00c32ab688ee&chksm=eacc0d9eddbb8488f16ff82bb1dda8456a4011790fed024781972d578783e67781443cf4a319&mpshare=1&scene=24&srcid=0212G45TadrPnX8tp9eaNXUs#rd Hematoma modeling 血肿建模的第11种方法]
+
*[https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247485356&idx=1&sn=044f5899b651b35994db00c32ab688ee&chksm=eacc0d9eddbb8488f16ff82bb1dda8456a4011790fed024781972d578783e67781443cf4a319&mpshare=1&scene=24&srcid=0212G45TadrPnX8tp9eaNXUs#rd Hematoma modeling 血肿建模的第11种方法]
  
−
* [https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247486025&idx=1&sn=b281324893be4ab116d20826f1b426c3&chksm=eacc007bddbb896d9deb096f209278f40c0b52c6410a8a9ff3ce8c3697c99304f18eb678f11e&mpshare=1&scene=24&srcid=02125v1kxvIGmfkxx7mUZcCM#rd Mobile phone positioning and AR application 手机定位及AR应用的初步探索]
+
*[https://mp.weixin.qq.com/s?__biz=MzI3MDY4ODA5Mw==&mid=2247486025&idx=1&sn=b281324893be4ab116d20826f1b426c3&chksm=eacc007bddbb896d9deb096f209278f40c0b52c6410a8a9ff3ce8c3697c99304f18eb678f11e&mpshare=1&scene=24&srcid=02125v1kxvIGmfkxx7mUZcCM#rd Mobile phone positioning and AR application 手机定位及AR应用的初步探索]
  
−
|align="right"|
+
| align="right" |
 
[[image:Wechat-hemorage-2018-02-12.png|250px|Example WeChat tutorial slides]]
 
[[image:Wechat-hemorage-2018-02-12.png|250px|Example WeChat tutorial slides]]
 
|}
 
|}
  
−
==Resources in German ==
+
==Resources in German==
  
−
* [https://www.youtube.com/watch?v=sl-00kGpuPk&list=PLJWCUXz3GeAfmYLiFcKus_c0jcsMnVsgb A series of four YouTube videos on python programming in Slicer] (German narration with English subtitles)
+
*[https://www.youtube.com/watch?v=sl-00kGpuPk&list=PLJWCUXz3GeAfmYLiFcKus_c0jcsMnVsgb A series of four YouTube videos on python programming in Slicer] (German narration with English subtitles)
  
−
== Murat Maga's blog posts about using 3D Slicer for biology ==
+
==Murat Maga's blog posts about using 3D Slicer for biology==
  
−
* [https://blogs.uw.edu/maga/2017/04/11/getting-started-with-3d-slicer-as-a-biologist/ Slicer for Biologists]
+
*[https://blogs.uw.edu/maga/2017/04/11/getting-started-with-3d-slicer-as-a-biologist/ Slicer for Biologists]
−
* [https://blogs.uw.edu/maga/2017/04/11/a-worked-example-getting-and-visualizing-data-from-digimorph/ Loading data from DigiMorph]
+
*[https://blogs.uw.edu/maga/2017/04/11/a-worked-example-getting-and-visualizing-data-from-digimorph/ Loading data from DigiMorph]
−
* [https://blogs.uw.edu/maga/2017/04/11/morphosource-data-and-dealing-with-dicom-series-in-slicer/ Fixing problem DICOM]
+
*[https://blogs.uw.edu/maga/2017/04/11/morphosource-data-and-dealing-with-dicom-series-in-slicer/ Fixing problem DICOM]
−
* [https://blogs.uw.edu/maga/2017/04/12/scissors-tool-is-awesome/ Scissors tool is awesom]
+
*[https://blogs.uw.edu/maga/2017/04/12/scissors-tool-is-awesome/ Scissors tool is awesom]
 
   
 
   
−
== Using the (legacy) Editor ==
+
==Using the (legacy) Editor==
  
−
=== Fast GrowCut ===
+
===Fast GrowCut===
  
−
{|width="100%"
+
{| width="100%"
 
|
 
|
−
* The [[media:FastGrowCutTutorial.pdf |Fast GrowCut tutorial]]  shows how to perform a segmentation using the Fast GrowCut effect in Slicer.
+
*The [[Media:FastGrowCutTutorial.pdf|Fast GrowCut tutorial]]  shows how to perform a segmentation using the Fast GrowCut effect in Slicer.
−
* Authors: Hillary Lia
+
*Authors: Hillary Lia
−
* Audience: Users interested in segmentation
+
*Audience: Users interested in segmentation
−
|align="right"|[[File:FastGrowCutLogo.png|200px]]
+
| align="right" |[[File:FastGrowCutLogo.png|200px]]
 
|}
 
|}
  
−
=== Use case: Slicer in paleontology ===
+
===Use case: Slicer in paleontology===
  
 
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:
 
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:
  
−
* [http://openpaleo.blogspot.com/2008/12/3d-slicer-tutorial.html Open Source Paleontologist: 3D Slicer: The Tutorial]
+
*[http://openpaleo.blogspot.com/2008/12/3d-slicer-tutorial.html Open Source Paleontologist: 3D Slicer: The Tutorial]
−
* [http://openpaleo.blogspot.com/2008/12/3d-slicer-tutorial-part-ii.html Open Source Paleontologist: 3D Slicer: The Tutorial Part II]
+
*[http://openpaleo.blogspot.com/2008/12/3d-slicer-tutorial-part-ii.html Open Source Paleontologist: 3D Slicer: The Tutorial Part II]
−
* [http://openpaleo.blogspot.com/2008/12/3d-slicer-tutorial-part-iii.html Open Source Paleontologist: 3D Slicer: The Tutorial Part III]
+
*[http://openpaleo.blogspot.com/2008/12/3d-slicer-tutorial-part-iii.html Open Source Paleontologist: 3D Slicer: The Tutorial Part III]
−
* [http://openpaleo.blogspot.com/2008/12/3d-slicer-tutorial-part-iv.html Open Source Paleontologist: 3D Slicer: The Tutorial Part IV]
+
*[http://openpaleo.blogspot.com/2008/12/3d-slicer-tutorial-part-iv.html Open Source Paleontologist: 3D Slicer: The Tutorial Part IV]
−
* [http://openpaleo.blogspot.com/2009/03/3d-slicer-tutorial-part-v.html Open Source Paleontologist: 3D Slicer: The Tutorial Part V]
+
*[http://openpaleo.blogspot.com/2009/03/3d-slicer-tutorial-part-v.html Open Source Paleontologist: 3D Slicer: The Tutorial Part V]
−
* [http://openpaleo.blogspot.com/2009/03/3d-slicer-tutorial-part-vi.html Open Source Paleontologist: 3D Slicer: The Tutorial Part VI]
+
*[http://openpaleo.blogspot.com/2009/03/3d-slicer-tutorial-part-vi.html Open Source Paleontologist: 3D Slicer: The Tutorial Part VI]

Revision as of 11:10, 19 December 2019

Home < Documentation < 4.10 < Training


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


Introduction: Slicer 4.10 Tutorials


  • Some of these tutorials are based on older releases of 3D Slicer and are being upgraded to Slicer4.10. The concepts are still useful but some interface elements and features may be different in updated versions.

Contents

Quick Start Guide

Downloading and Installing Slicer

  • The Quick Start Guide shows how to install and start 3D Slicer
  • Author: Sonia Pujol, Ph.D.
  • Based on 3D Slicer 4.8
  • Compatible with 3D Slicer 4.10.1

SlicerWelcome tutorial

General Introduction

Slicer Welcome Tutorial

  • The Slicer Welcome tutorial is an introduction to Slicer.
  • 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 4.8
  • Compatible with Slicer 4.10.1

SlicerWelcome tutorial

Slicer4Minute Tutorial

  • The Slicer4 Minute Tutorial is a brief introduction to the advanced 3D visualization capabilities of Slicer.
  • Author: Sonia Pujol, Ph.D.
  • Audience: First-time users who want to discover Slicer in 4 minutes
  • Modules: Welcome to Slicer, Models
  • Based on Slicer version 4.8
  • Compatible with Slicer 4.10.1
  • The Slicer4Minute dataset contains an MR scan of the brain and 3D reconstructions of the anatomy
Slicer4Minute tutorial

3D Visualization

Slicer4 Data Loading and 3D Visualization

  • Slicer 4.10
    • The Data loading and visualization (pptx) course guides through the basics of loading and viewing volumes and 3D models in Slicer 4.10.
    • Author: Csaba Pinter
    • Modules: Welcome to Slicer, Data, Volume Rendering, Models.
    • Audience: End-users
    • Based on Slicer 4.9
    • Compatible with Slicer 4.10.1
    • The 3DVisualization dataset contain an MR scan and a series of 3D models of the brain.
  • Slicer 4.5
    • The Data loading and 3D visualization course guides through the basics of loading and viewing volumes and 3D models in Slicer 4.5.
    • Author: Sonia Pujol, Ph.D.
    • Modules: Welcome to Slicer, Sample Data, Models.
    • Audience: End-users
    • Based on: 3D Slicer version 4.5
    • The 3DVisualization dataset contain an MR scan and a series of 3D models of the brain.
20180426 DataLoadingAndVisualizationTutorial.png
Slicer4DataLoading tutorial.png

Slicer4 3D Visualization of DICOM images for Radiology Applications

  • The 3D Visualization of DICOM images 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 4.8
  • Compatible with 3D Slicer version 4.10
  • 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

Open Anatomy Browser

OABrowser.png
  • The Open Anatomy Browser tutorial is an introduction to the OABrowser technology for viewing and interacting with atlases.
  • Author: Sonia Pujol, Ph.D., Mike Halle, Ph.D.
  • Audience: End-users

Tutorials for software developers

Slicer4 Programming Tutorial

  • The Slicer Programming tutorial 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 4.7
  • The HelloPython dataset contains sample data set (MR scan of the brain) and complete Python module examples.
HelloPythonTutorial.png

PerkLab's Slicer bootcamp training materials

  • The Laboratory for Percutaneous Surgery at Queen's University has made available training material of its internal yearly bootcamp, covering topics, such as 3D Slicer overview, basic visualization, segmentation, registration, scripting and module development, surgical navigation, DICOM, reproducible medical image computing research methodology, version control, and research project management.
  • Author: Andras Lasso, Csaba Pinter, Tamas Ungi, Csaba Pinter, Matthew Holden, Kyle Sunderland
  • Audience: Developers, Users
  • Based on: 3D Slicer version 4.8
PerkLabSlicerProgrammingTutorial.png

Slicer script repository

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

Developing and contributing extensions for 3D Slicer

Contributing3DSlicerExtension.png

Segmentation

Slicer4 Image Segmentation

  • Segmentation for 3D printing: shows how to use the Segment Editor module for combining CAD designed parts with patient-specific models.
20170717 3DPrintingTutorialYoutube.PNG
  • Video tutorial: Whole heart segmentation from cardiac CT shows how to use the Segment Editor module for segmenting heart ventricles, atria, and great vessels from cardiac CT volumes.
    • Author: Andras Lasso, PhD
    • Audience: Users who need to segment heart structures, for example for visualization, quantification, or simulation.
    • Sample data set
    • Based on: 3D Slicer version 4.8
 WholeHeartSegYoutube.png

Registration

Slicer4 Image Registration

  • The Registration tutorial shows how to perform intra- and inter-subject registration within Slicer.
  • Authors: Sonia Pujol, Ph.D., Dominik Meier, Ph.D., Ron Kikinis, M.D.
  • Audience: Users and developers interested in image registration
  • Dataset: 3D Slicer Registration Data
 Registration Slicer4.png
  • Based on: 3D Slicer version 4.8; Compatible with Slicer 4.10
  • The Brain Tumor Registration is a video-based tutorial that shows how to register two MRI datasets in a brain tumor case for surgical resection follow-up.
  • Authors: Sonia Pujol, Ph.D., Dominik Meier, Ph.D.
  • Audience: Users and developers interested in image registration
  • Dataset: Registration Library Case #37
 RigidRegistration.jpg
  • Based on: 3D Slicer version 4.10

Slicer Registration Case Library

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

Image Phenotyping

  • Based on: 3D Slicer version 4.10
  • The Image Phenotyping tutorial is an introduction to image phenotyping using the Slicer Radiomics extension..
  • Authors: Sonia Pujol, Ph.D.
  • Audience: Clinical researchers
  • Dataset: Meningioma dataset
 ImagePhenotyping.png

Slicer Extensions

Slicer4 Diffusion Tensor Imaging Tutorial

  • Please visit dmri.slicer.org/docs for the latest documentation of SlicerDMRI.
  • The Diffusion Tensor Imaging course is an introduction to 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 4.8
  • 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 end-users through the generation of fiber tracts in the vicinity of a tumor.
  • Author: Sonia Pujol, Ph.D., Ron Kikinis, M.D.
  • Audience: Clinicians and Clinical Researchers
  • Modules: Segment Editor, Tractography
  • Based on 3D Slicer version 4.10
  • The White Matter Exploration dataset contains a Diffusion Weighted Imaging scan of a brain tumor patient.
NeurosurgicalPlanningTutorial.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 tutorials
  • 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 Radiation Therapy Tutorial

  • The SlicerRT tutorial is an introduction to the Radiation Therapy functionalities of Slicer.
  • Author: Csaba Pinter, Andras Lasso, An Wang, Gregory C. Sharp, David Jaffray, Gabor Fichtinger.
  • Dataset: download from MIDAS server
  • Based on Slicer 4.7


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.

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.

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.

3D Slicer version 4.7 Tutorial Contest

For previous editions of the contest, please visit the 3D Slicer Tutorial Contests page

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.

YouTube videos

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How to segment multiple vertebrae in spine CT for 3D printing - Author: Hillary Lia
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Creating a femur model from CT volume using 3D Slicer - Author: Nabgha Farhat
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Preparing data for 3D printing - Author: PerkLab
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How to export CT and segmentation data to DICOM- Author: Andras Lasso, Csaba Pinter

Additional non-curated videos-based demonstrations using 3D Slicer are accessible on YouTube.

Teams Contributions

  • 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
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  • 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
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International resources

Resources in Chinese

A 3D Slicer community on WeChat in China offers many tutorials and clinical examples in Chinese. Note that the images are of interest to non-Chinese speakers and Google Translate does a reasonable job of translating some of the text.

Example WeChat tutorial slides

Resources in German

Murat Maga's blog posts about using 3D Slicer for biology

Using the (legacy) Editor

Fast GrowCut

  • The Fast GrowCut tutorial shows how to perform a segmentation using the Fast GrowCut effect in Slicer.
  • Authors: Hillary Lia
  • Audience: Users interested in segmentation
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Use case: Slicer in paleontology

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:

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