Difference between revisions of "Slicer3.2:Training"
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__NOTOC__ | __NOTOC__ | ||
= Welcome to the 3D Slicer3.2 User Training 101= | = Welcome to the 3D Slicer3.2 User Training 101= | ||
− | The information on this page applies to '''3D Slicer version 3'''. If you are looking for materials about Slicer version 2, please visit the [http://wiki.na-mic.org/Wiki/index.php/Slicer:Workshops:User_Training_101 Slicer2 101 page]. | + | *The information on this page applies to '''3D Slicer version 3.2'''. |
+ | **If you are looking for materials about Slicer version 3.6, please visit the [https://www.slicer.org/wiki/Slicer3.6:Training#Software_tutorials Slicer3.6 training page] | ||
+ | **If you are looking for materials about Slicer version 3.4, please visit the [https://www.slicer.org/wiki/Slicer3.4:Training#Software_tutorials Slicer3.4 training page] | ||
+ | **If you are looking for materials about Slicer version 2, please visit the [http://wiki.na-mic.org/Wiki/index.php/Slicer:Workshops:User_Training_101 Slicer2 101 page]. | ||
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*'''For questions about the materials on this page, please send an e-mail to Sonia Pujol, Ph.D. (spujol at bwh.harvard.edu)'''. | *'''For questions about the materials on this page, please send an e-mail to Sonia Pujol, Ph.D. (spujol at bwh.harvard.edu)'''. | ||
− | | style="background: #ebeced" colspan="2" align="center"| <b>[ | + | | style="background: #ebeced" colspan="2" align="center"| <b>[https://www.slicer.org/wiki/Slicer3:Slicer3Brand Slicer Logo]</b> |
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| style="background: #ebeced"|[[Image:3DSlicerLogo-H-Color-424x236.png|center|250px|Slicer logo]] | | style="background: #ebeced"|[[Image:3DSlicerLogo-H-Color-424x236.png|center|250px|Slicer logo]] | ||
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| style="background:#9BF2C5; color:black" align="Center"| <span id="1.7"></span> '''1.7''' | | style="background:#9BF2C5; color:black" align="Center"| <span id="1.7"></span> '''1.7''' | ||
− | | style="background:#D1FFF9; color:black"| [ | + | | style="background:#D1FFF9; color:black"| [[media:Slicer3Training_WhiteMatterLesions_v2.3.pdf |Detecting white matter lesions in lupus]] <br> |
− | This tutorial | + | This tutorial teaches how to use an automated, multi-level method to segment white matter brain lesions in lupus. |
− | | style="background:#D1FFF9; color:black"|[ | + | | style="background:#D1FFF9; color:black"|Lupus Tutorial Data [[Media:LesionSegmentationTutorialData.tgz|(.tgz)]][[media:LesionSegmentationTutorialData.zip| (.zip)]]<br> |
− | [[media: | + | | style="background:#C3D1C3; color:black" align="Center"| [[Image:3dLupusLesionVolume.png|200px|Lesion Segmentation]] |
− | | style="background:#C3D1C3; color:black" align="Center"| [[Image: | ||
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| style="background:#9BF2C5; color:black" align="Center"| <span id="1.8"></span> '''1.8''' | | style="background:#9BF2C5; color:black" align="Center"| <span id="1.8"></span> '''1.8''' | ||
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** [http://www.gridwizardenterprise.org/guides/config.html GWE Configuration Guide] | ** [http://www.gridwizardenterprise.org/guides/config.html GWE Configuration Guide] | ||
** [http://www.gridwizardenterprise.org/guides/user.html End Users Guide] | ** [http://www.gridwizardenterprise.org/guides/user.html End Users Guide] | ||
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| style="background:#C3D1C3; color:black" align="Center"| [[Image:GWE-overview.jpg|200px|GWE Overview]][http://www.youtube.com/watch?v=yXdRks5Wu5Q Featured Study Case (YouTube)] | | style="background:#C3D1C3; color:black" align="Center"| [[Image:GWE-overview.jpg|200px|GWE Overview]][http://www.youtube.com/watch?v=yXdRks5Wu5Q Featured Study Case (YouTube)] | ||
+ | |- | ||
+ | | style="background:#72b291; color:black" align="Center"| <span id="3.6"></span> '''3.6''' | ||
+ | | style="background:#D1FFF9; color:black"| [http://www.youtube.com/watch?v=ebWqTHf5i5Y&hd=1 YouTube Video: Using "GWE's Record Set Explorer"] | ||
+ | This tutorial is intended for researchers who wish to interactively review local or remote datasets; such as input values of parameter exploration experiements, their output results, result sets of XNAT queries or any other type of dataset. | ||
+ | | style="background:#D1FFF9; color:black"| | ||
+ | |||
+ | * '''Sample data used in demo video:''' | ||
+ | * [http://www.oasis-brains.org/pdf/oasis_cross-sectional.csv OASIS Brain DB Cross Sectional Remote DataSet] | ||
+ | * [http://www.oasis-brains.org/pdf/oasis_longitudinal.csv OASIS Brain DB Longitudinal Remote DataSet] | ||
+ | |||
+ | * [http://www.gridwizardenterprise.org/rse '''RSE Project Site'''] | ||
+ | (there you can find: binaries, installation guides, source code, other useful documentation and project related information) | ||
+ | |||
+ | | style="background:#C3D1C3; color:black" align="Center"| [[Image:Rse-gwe-exp.gif|200px|RSE browsing through the results of a parameter exploration experiment]] | ||
|} | |} | ||
Latest revision as of 17:27, 10 July 2017
Home < Slicer3.2:TrainingWelcome to the 3D Slicer3.2 User Training 101
- The information on this page applies to 3D Slicer version 3.2.
- If you are looking for materials about Slicer version 3.6, please visit the Slicer3.6 training page
- If you are looking for materials about Slicer version 3.4, please visit the Slicer3.4 training page
- If you are looking for materials about Slicer version 2, please visit the Slicer2 101 page.
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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 3D Visualization in Slicer3 | SlicerSampleVisualization.tar.gz SlicerSampleVisualization.zip |
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1.2 | Manual segmentation with 3D Slicer | ||
1.3 | EM Segmentation Course Background Materials: EMSegmenter History |
AutomaticSegmentation.tar.gz
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1.4 | Affine and Deformable Registration in Slicer 3 | SlicerSampleRegistration.tgz |
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1.5 | Processing of Diffusion Weighted Imaging and Diffusion Tensor Imaging data in Slicer3 Background Materials:DT-MRI module. |
Slicer3DiffusionTutorialData.zip |
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1.6 | Detecting subtle change in pathology This tutorial consists of two MR scans of a patient with meningioma. |
ChangeTracker-Tutorial-Data.zip | |
1.7 | Detecting white matter lesions in lupus This tutorial teaches how to use an automated, multi-level method to segment white matter brain lesions in lupus. |
Lupus Tutorial Data (.tgz) (.zip) |
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1.8 | FreeSurfer Course This tutorial teaches how to visualize FreeSurfer segmentations and parcellation maps of the brain. |
FreeSurfer Tutorial Data FreeSurferTutorialData.zip |
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2.1 | Programming into Slicer3
This tutorial is intended for engineers and scientists who want to integrate stand-alone programs outside of the Slicer3 source tree. |
HelloWorld_Plugin.zip | |
2.2 | Image Guided Therapy Planning Tutorial This tutorial takes the trainee through a complete workup for neurosurgical patient specific mapping.See pages 58 to 80 of this tutorial on using the "Simple region growing" segmentation module.
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NeurosurgicalPlanningTutorialData.zip | |
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. |
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3.2 | SPL-PNL Brain Atlas Tutorial
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. |
SPL-PNL Brain Atlas | |
3.3 | SPL Abdominal Atlas Tutorial
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.
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SPL Abdominal Atlas | |
3.4 | Using XNAT Desktop and Slicer3 for remote data handling
This tutorial is intended for researchers who wish to upload local datasets to a remote XNAT repository like XNAT Central and retrieve catalog files that can be opened inside Slicer. |
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3.5 | Harnessing Grid Computational Resources and integration with Slicer through the Grid Wizard Enterprise system
These tutorials are intended for researchers who wish to utilize distributed computational resources. |
Grid Wizard Enterprise
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Featured Study Case (YouTube) |
3.6 | YouTube Video: Using "GWE's Record Set Explorer"
This tutorial is intended for researchers who wish to interactively review local or remote datasets; such as input values of parameter exploration experiements, their output results, result sets of XNAT queries or any other type of dataset. |
(there you can find: binaries, installation guides, source code, other useful documentation and project related information) |
- 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