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

Revision as of 16:53, 12 January 2017

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

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.

Segmentation for 3D printing
- This tutorial (PDF) 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 here

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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.
+#* [http://www.na-mic.org/Wiki/images/3/3f/SegmentationFor3DPrinting_TutorialContestWinter2017.pptx This tutorial] ([http://www.na-mic.org/Wiki/images/a/a6/SegmentationFor3DPrinting_TutorialContestWinter2017.pdf PDF]) 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]