Difference between revisions of "2017 Winter Project Week/2017TutorialContest"

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*[http://www.na-mic.org/Wiki/index.php/2017_Tutorial_Contest '''Winter 2017 Tutorial Contest''']
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#[http://wiki.slicer.org/slicerWiki/index.php/Documentation/Nightly/Extensions/SlicerPathology Slicer Pathology] (Erich Bremer/Andriy Fedorov)
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#[[Media:SimpleDiffusionGradientInformationExtractorTutorial_Chauvin_Jan2017.pptx| Simple Python Tool for Quality Control of DWI data (Laurent Chauvin)]]
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#[https://www.nitrc.org/docman/view.php/308/1982/SPHARM-PDM_Tutorial_July2015.pdf SPHARM-PDM (Beatriz Paniagua)]
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#[https://na-mic.org/w/images/a/a6/SegmentationFor3DPrinting_TutorialContestWinter2017.pdf Segmentation for 3D printing] (Csaba Pinter)
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#[[Media:ROSIGTLTutorial_Tokuda_Jan2017.pptx| Integration of Robot Operating System (ROS) and 3D Slicer using OpenIGTLink (Junichi Tokuda)]]
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#[[Media:Fiber_Bundle_Volume_Measurement.pptx|Fiber Bundle Volume Measurement]], [[Media:FiberVolume_data.zip| tutorial data]] (Shun Gong)
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Winner: Csaba Pinter won the contest and was awarded $250 by Kitware Inc
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Judges:
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**Rebekka Lauer, Humboldt-University, Berlin
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**Parvin Mousavi, Brigham and Women's Hospital
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**Peter Anderson
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**Hongtao Zhang, Hebei General Hospital
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**Michael Chae, Monash University
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==Tutorials==
 
# '''Segmentation for 3D printing'''
 
#* This tutorial (TODO slides link) creates a printable STL model from a section of the spinal column segmented from a CT image, attached to a base designed in CAD software.
 
#* Author: Csaba Pinter (Queen's University, Canada)
 
#* Dataset: The CT image is the CTChest dataset accessible from the Sample Data module in Slicer. The phantom base can be downloaded [http://www.na-mic.org/Wiki/images/1/1e/BasePiece.stl here]
 

Latest revision as of 14:27, 10 July 2017

Home < 2017 Winter Project Week < 2017TutorialContest

Key Investigators

Sonia Pujol, Ph.D., Director of Training, Neuroimage Analysis Center

Project Description

Objective:

Approach and Plan:

Progress and Next Steps
  • The primary purpose of the Winter 2017 tutorial contest is to enrich the training materials that are available to end-users and developers using 3D Slicer.
  • The contest provides members of the medical image computing and radiology research community a methodology and a framework for developing step-by-step tutorials on advanced image analysis methods.
  1. Slicer Pathology (Erich Bremer/Andriy Fedorov)
  2. Simple Python Tool for Quality Control of DWI data (Laurent Chauvin)
  3. SPHARM-PDM (Beatriz Paniagua)
  4. Segmentation for 3D printing (Csaba Pinter)
  5. Integration of Robot Operating System (ROS) and 3D Slicer using OpenIGTLink (Junichi Tokuda)
  6. Fiber Bundle Volume Measurement, tutorial data (Shun Gong)

Winner: Csaba Pinter won the contest and was awarded $250 by Kitware Inc

Judges:

    • Rebekka Lauer, Humboldt-University, Berlin
    • Parvin Mousavi, Brigham and Women's Hospital
    • Peter Anderson
    • Hongtao Zhang, Hebei General Hospital
    • Michael Chae, Monash University