Difference between revisions of "Slicer3.2:Training"

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| style="background:#D1FFF9; color:black"| [[Media:3DVisualization_SoniaPujol_Munich2008.ppt| Data Loading and Visualization in Slicer3 ]]
 
| style="background:#D1FFF9; color:black"| [[Media:3DVisualization_SoniaPujol_Munich2008.ppt| Data Loading and Visualization in Slicer3 ]]
 
| style="background:#D1FFF9; color:black"| [http://www.na-mic.org/Wiki/index.php/Image:SlicerSampleVisualization.tar.gz SlicerSampleVisualization.tar.gz]
 
| style="background:#D1FFF9; color:black"| [http://www.na-mic.org/Wiki/index.php/Image:SlicerSampleVisualization.tar.gz SlicerSampleVisualization.tar.gz]
| style="background:#C3D1C3; color:black" align="Center"| [[Image:SceneRestore.png|100px|LoadingandVisualization]]
+
| style="background:#C3D1C3; color:black" align="Center"| [[Image:SceneRestore.png|200px|LoadingandVisualization]]
 
|-
 
|-
 
| style="background:#9BF2C5; color:black" align="Center"| '''1.2'''
 
| style="background:#9BF2C5; color:black" align="Center"| '''1.2'''
 
| style="background:#D1FFF9; color:black"| [[Media:AutomaticSegmentation_SoniaPujol_Munich2008.ppt|EM Segmentation Course]]<br>Older materials: [[Media:EMSegTutorial-AHM2008.ppt|1]], [[EMSegmenter| 2]]
 
| style="background:#D1FFF9; color:black"| [[Media:AutomaticSegmentation_SoniaPujol_Munich2008.ppt|EM Segmentation Course]]<br>Older materials: [[Media:EMSegTutorial-AHM2008.ppt|1]], [[EMSegmenter| 2]]
 
| style="background:#D1FFF9; color:black"|[[Media:AutomaticSegmentation.tar.gz|AutomaticSegmentation.tar.gz]]<br>Older Materials: [[Media:EMSegTutorial-AHM2008.zip|1]]
 
| style="background:#D1FFF9; color:black"|[[Media:AutomaticSegmentation.tar.gz|AutomaticSegmentation.tar.gz]]<br>Older Materials: [[Media:EMSegTutorial-AHM2008.zip|1]]
| style="background:#C3D1C3; color:black" align="Center"| [[Image:EMSegmentation2008.png|100px|EM Segmenter]]
+
| style="background:#C3D1C3; color:black" align="Center"| [[Image:EMSegmentation2008.png|200px|EM Segmenter]]
 
|-
 
|-
 
| style="background:#9BF2C5; color:black" align="Center"| '''1.3'''
 
| style="background:#9BF2C5; color:black" align="Center"| '''1.3'''
 
| style="background:#D1FFF9; color:black"| Affine and deformable [[Media:Na-MIC-Slicer-Registration.ppt|registration in Slicer 3]]
 
| style="background:#D1FFF9; color:black"| Affine and deformable [[Media:Na-MIC-Slicer-Registration.ppt|registration in Slicer 3]]
 
| style="background:#D1FFF9; color:black"| [[Media:SlicerSampleRegistration.tgz|SlicerSampleRegistration.tgz]]
 
| style="background:#D1FFF9; color:black"| [[Media:SlicerSampleRegistration.tgz|SlicerSampleRegistration.tgz]]
| style="background:#C3D1C3; color:black" align="Center"| [[Image:Na-MIC-Slicer-Registration.png|100px|SlicerRegistration]]
+
| style="background:#C3D1C3; color:black" align="Center"| [[Image:Na-MIC-Slicer-Registration.png|200px|SlicerRegistration]]
 
|-
 
|-
 
| style="background:#9BF2C5; color:black" align="Center"| '''1.4'''
 
| style="background:#9BF2C5; color:black" align="Center"| '''1.4'''
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See [http://slicer.org/slicerWiki/index.php/Slicer3:DTMRI '''here'''] for background info.
 
See [http://slicer.org/slicerWiki/index.php/Slicer3:DTMRI '''here'''] for background info.
 
| style="background:#D1FFF9; color:black"|[[Media:Slicer3-diffusion-Tutorial material.zip|Slicer3-diffusion-Tutorial material.zip]]
 
| style="background:#D1FFF9; color:black"|[[Media:Slicer3-diffusion-Tutorial material.zip|Slicer3-diffusion-Tutorial material.zip]]
| style="background:#C3D1C3; color:black" align="Center"| [[Image:Line-glyph-tracts.jpg|100px|Glyphs and tracts]]
+
| style="background:#C3D1C3; color:black" align="Center"| [[Image:Line-glyph-tracts.jpg|200px|Glyphs and tracts]]
 
|-
 
|-
 
| style="background:#9BF2C5; color:black" align="Center"| '''1.5'''
 
| style="background:#9BF2C5; color:black" align="Center"| '''1.5'''
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This tutorial consists of two MR scans of a patient with meningioma.
 
This tutorial consists of two MR scans of a patient with meningioma.
 
| style="background:#D1FFF9; color:black"|[[Media:TumorGrowth-Tutorial-Data.xcat|TumorGrowth-Tutorial-Data.xcat ]]
 
| style="background:#D1FFF9; color:black"|[[Media:TumorGrowth-Tutorial-Data.xcat|TumorGrowth-Tutorial-Data.xcat ]]
| style="background:#C3D1C3; color:black" align="Center"| [[Image:TumorGrowth-Tutorial-Image.png|100px|Meningioma Case]]
+
| style="background:#C3D1C3; color:black" align="Center"| [[Image:TumorGrowth-Tutorial-Image.png|200px|Meningioma Case]]
 
|-
 
|-
 
| style="background:#8EDEB5; color:black" align="Center"| '''2.1'''
 
| style="background:#8EDEB5; color:black" align="Center"| '''2.1'''
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This tutorial is intended for engineers and scientists who want to integrate external programs with Slicer3.
 
This tutorial is intended for engineers and scientists who want to integrate external programs with Slicer3.
 
| style="background:#D1FFF9; color:black"| [[Media:HelloWorld.zip|HelloWorld.zip]]
 
| style="background:#D1FFF9; color:black"| [[Media:HelloWorld.zip|HelloWorld.zip]]
| style="background:#C3D1C3; color:black" align="Center"| [[Image:HelloWorld.png|100px|Plug-In]]
+
| style="background:#C3D1C3; color:black" align="Center"| [[Image:HelloWorld.png|200px|Plug-In]]
 
|-
 
|-
 
| style="background:#8EDEB5; color:black" align="Center"| '''2.2'''
 
| style="background:#8EDEB5; color:black" align="Center"| '''2.2'''
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This tutorial takes the trainee through a complete workup for neurosurgical patient specific mapping
 
This tutorial takes the trainee through a complete workup for neurosurgical patient specific mapping
 
| style="background:#D1FFF9; color:black"|[[Media:NeurosurgicalPlanningTutorialData.zip|NeurosurgicalPlanningTutorialData.zip]]
 
| style="background:#D1FFF9; color:black"|[[Media:NeurosurgicalPlanningTutorialData.zip|NeurosurgicalPlanningTutorialData.zip]]
| style="background:#C3D1C3; color:black" align="Center"| [[Image:NeurosurgicalPlanningOverview.png|100px|Neurosurgical Planning Overview]]
+
| style="background:#C3D1C3; color:black" align="Center"| [[Image:NeurosurgicalPlanningOverview.png|200px|Neurosurgical Planning Overview]]
 
|-
 
|-
 
| style="background:#72b291; color:black" align="Center"| '''3.1'''
 
| style="background:#72b291; color:black" align="Center"| '''3.1'''
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This tutorial is intended for engineers and scientists who want to use Slicer 3 for IGT research.
 
This tutorial is intended for engineers and scientists who want to use Slicer 3 for IGT research.
 
| style="background:#D1FFF9; color:black"|   
 
| style="background:#D1FFF9; color:black"|   
| style="background:#C3D1C3; color:black" align="Center"| [[Image:Slicer IGTL NITRobot.jpg|100px|Slicer with robots]]
+
| style="background:#C3D1C3; color:black" align="Center"| [[Image:Slicer IGTL NITRobot.jpg|200px|Slicer with robots]]
 
|-
 
|-
 
| style="background:#72b291; color:black" align="Center"| '''3.2'''
 
| style="background:#72b291; color:black" align="Center"| '''3.2'''
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This three-dimensional brain atlas dataset, derived from a volumetric, whole-head MRI scan, contains the original MRI-scan, a complete set of label maps, three-dimensional reconstructions (200+ structures) and a tutorial. See [http://www.spl.harvard.edu/pages/Special:PubDB_View?dspaceid=1265 '''here'''] for more information.
 
This three-dimensional brain atlas dataset, derived from a volumetric, whole-head MRI scan, contains the original MRI-scan, a complete set of label maps, three-dimensional reconstructions (200+ structures) and a tutorial. See [http://www.spl.harvard.edu/pages/Special:PubDB_View?dspaceid=1265 '''here'''] for more information.
 
| style="background:#D1FFF9; color:black"|[http://www.spl.harvard.edu/pages/Special:PubDB_View?dspaceid=1265 SPL-PNL  Brain Atlas]
 
| style="background:#D1FFF9; color:black"|[http://www.spl.harvard.edu/pages/Special:PubDB_View?dspaceid=1265 SPL-PNL  Brain Atlas]
| style="background:#C3D1C3; color:black" align="Center"| [[Image:Atlas.png|100px|Brain Atlas]]
+
| style="background:#C3D1C3; color:black" align="Center"| [[Image:Atlas.png|200px|Brain Atlas]]
 
|-
 
|-
 
| style="background:#72b291; color:black" align="Center"| '''3.3'''
 
| style="background:#72b291; color:black" align="Center"| '''3.3'''
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This three-dimensional abdominal atlas was derived from a computed tomography (CT) scan, using semi-automated image segmentation and three-dimensional reconstruction techniques. The dataset contains the original CT scan, detailed label maps, three-dimensional reconstructions and a tutorial. See [http://www.spl.harvard.edu/pages/Special:PubDB_View?dspaceid=1266 '''here'''] for more information.
 
This three-dimensional abdominal atlas was derived from a computed tomography (CT) scan, using semi-automated image segmentation and three-dimensional reconstruction techniques. The dataset contains the original CT scan, detailed label maps, three-dimensional reconstructions and a tutorial. See [http://www.spl.harvard.edu/pages/Special:PubDB_View?dspaceid=1266 '''here'''] for more information.
 
| style="background:#D1FFF9; color:black"|[http://www.spl.harvard.edu/pages/Special:PubDB_View?dspaceid=1266 SPL Abdominal Atlas]
 
| style="background:#D1FFF9; color:black"|[http://www.spl.harvard.edu/pages/Special:PubDB_View?dspaceid=1266 SPL Abdominal Atlas]
| style="background:#C3D1C3; color:black" align="Center"| [[Image:Abdominal-Atlas-3Dsnapshot.png|100px|Abdominal Atlas]]
+
| style="background:#C3D1C3; color:black" align="Center"| [[Image:Abdominal-Atlas-3Dsnapshot.png|200px|Abdominal Atlas]]
 
|}
 
|}
  

Revision as of 14:07, 8 August 2008

Home < Slicer3.2:Training

Welcome to the 3D Slicer3.2 User Training 101

This page is under construction The information on this page applies to 3D Slicer version 3. If you are looking for materials about Slicer version 2, please go to the following location.

  • Slicer 3 has been designed as
    • an easy-to-use application for 3D image analysis and visualization,
    • an open-source environment for software development,
    • a technology delivery platform for community breakthroughs.
  • Slicer3 is distributed under a BSD open source license, and is designed to enable a collaborative development environment.
  • This page contains training materials and data sets for self-guided training in the use of Slicer3
  • For questions about the materials on this page, please send an e-mail to Sonia Pujol, Ph.D. (spujol at bwh.harvard.edu).
Slicer Logo
Slicer logo

Software Installation

The Slicer download page contains links for downloading the different versions of Slicer 3.

Training Compendium

Category/# Tutorial Sample Data Image
1.1 Data Loading and Visualization in Slicer3 SlicerSampleVisualization.tar.gz LoadingandVisualization
1.2 EM Segmentation Course
Older materials: 1, 2
AutomaticSegmentation.tar.gz
Older Materials: 1
EM Segmenter
1.3 Affine and deformable registration in Slicer 3 SlicerSampleRegistration.tgz SlicerRegistration
1.4 Processing of DWI and DTI data in Slicer3- WARNING UNDER CONSTRUCTION NOT READY FOR USE earlier version

This tutorial takes the trainee through the slicer3 diffusion display and processing options. See here for background info.

Slicer3-diffusion-Tutorial material.zip Glyphs and tracts
1.5 Detecting subtle change in pathology

This tutorial consists of two MR scans of a patient with meningioma.

TumorGrowth-Tutorial-Data.xcat Meningioma Case
2.1 Plug-ins for Slicer3: Course for Developers

This tutorial is intended for engineers and scientists who want to integrate external programs with Slicer3.

HelloWorld.zip Plug-In
2.2 Image Guided Therapy Planning Tutorial

See here for background info. This tutorial takes the trainee through a complete workup for neurosurgical patient specific mapping

NeurosurgicalPlanningTutorialData.zip Neurosurgical Planning Overview
3.1 Slicer3 as a research tool for image guided therapy research (IGT)

This tutorial is intended for engineers and scientists who want to use Slicer 3 for IGT research.

Slicer with robots
3.2 SPL-PNL Brain Atlas

This three-dimensional brain atlas dataset, derived from a volumetric, whole-head MRI scan, contains the original MRI-scan, a complete set of label maps, three-dimensional reconstructions (200+ structures) and a tutorial. See here for more information.

SPL-PNL Brain Atlas Brain Atlas
3.3 SPL Abdominal Atlas

This three-dimensional abdominal atlas was derived from a computed tomography (CT) scan, using semi-automated image segmentation and three-dimensional reconstruction techniques. The dataset contains the original CT scan, detailed label maps, three-dimensional reconstructions and a tutorial. See here for more information.

SPL Abdominal Atlas Abdominal Atlas
  • Category 1 = Basic functionality
  • Category 2 = Advanced functionality
  • Category 3 = Specialized application packages

Additional Materials

For a variety of data sets for downloading, check the following link.
Back to Training:Main