2010-Slicer-UNCDuke

Slicer Hands-On Tutorial, August 11, 2010, North Carolina Introduction Two half-day Slicer tutorials will be offered at UNC and Duke University on August 11, 2010. The primary objective of these 2 Slicer tutorial events is to introduce users at both universities to the Slicer environment, with a particular focus on its use for visualization, fiber tracking, and editing.

Schedule

Morning Time	Afternoon Time	Topic
08:15-08:30	01:15-01:30	Setup
08:30-09:00	01:30-02:00	Slicer and the NA-MIC Kit (Ron Kikinis)
09:00-09:30	02:00-02:30	Basic Visualization (Ipek Oguz)
09:30-10:00	02:30-03:00	Slicer interactive editing (Steve Pieper)
10:00-10:30	03:00-03:30	Break
10:30-11:00	03:30-04:00	Manual Registration (Julien Finet)
11:00-12:00	04:00-05:00	DTI in Slicer (Martin Styner)

Faculty

• Ron Kikinis, M.D.
• Steve Pieper, Ph.D.
• Martin Styner, Ph.D.
• Ipek Oguz, Ph.D.

Logistics

• To register for the tutorial @ Duke, please email Allan Johnson: gjohnson at duke.edu
• Location @ Duke: TBA
• To register for the tutorial @ UNC, please email Ipek Oguz: ipek at cs.unc.edu
• Location @ UNC: Brooks Building, Rm 141 (Faculty Conference Room)

Preparations

Please complete the following items prior to the workshop.

Software: Please bring your own laptop with the Slicer3.6 version appropriate to the computer you will be bringing to the workshop. The version of Slicer to download will be posted a few days before the event.

• Windows XP/7: http://www.na-mic.org/Slicer/Download/Nightly/Slicer3-3.6-2010-08-05-win32.exe
• Mac OSX Darwin Intel: http://www.na-mic.org/Slicer/Download/Nightly/Slicer3-3.6-2010-08-05-darwin-x86.tar.gz
• Linux 32: http://www.na-mic.org/Slicer/Download/Nightly/Slicer3-3.6-2010-08-05-linux-x86.tar.gz
• Linux 64: http://www.na-mic.org/Slicer/Download/Nightly/Slicer3-3.6-2010-08-05-linux-x86_64.tar.gz

Data: Please install the 3D Visualization dataset, the Interactive Editor dataset, Diffusion dataset, and the Manual Registration dataset.

Hardware minimum requirement: 2GB of main memory and graphics hardware acceleration with 256 MB of dedicated graphics memory (nvidia preferred). Recommended hardware: 4-8GB of main memory and 512MB or more of dedicated graphics memory with a nvidia gpu.

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