Difference between revisions of "Engineering:TCON 2010"
From NAMIC Wiki
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==2010-01-14== | ==2010-01-14== | ||
− | Attendees: Katie Ben Casey Yin Tina Vince Jim Satra Nicole Lauren Hiro Fernando Chris Brian Dominik | + | Attendees: Katie Ben Casey Yin Tina Vince Jim Satra Nicole Lauren Hiro Fernando Chris Brian Dominik Ron |
* Discussion of [http://ipython.scipy.org/doc/rel-0.10/html/parallel/index.html parallel processing using ipython] for use with [[NA-MIC_NCBC_Collaboration:NA-MIC_virtual_colonoscopy|NA-MIC CT Colonography collaboration project]]. (confirmed). | * Discussion of [http://ipython.scipy.org/doc/rel-0.10/html/parallel/index.html parallel processing using ipython] for use with [[NA-MIC_NCBC_Collaboration:NA-MIC_virtual_colonoscopy|NA-MIC CT Colonography collaboration project]]. (confirmed). | ||
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** 512x512x1000 voxels | ** 512x512x1000 voxels | ||
** GPU solutions or ipython solutions | ** GPU solutions or ipython solutions | ||
+ | ** Python package for accessing to Slicer internals in a headless mode, i.e. run Slicer internals from Python instead of running Python from within Slicer | ||
* Jim fell on the sword to take minutes | * Jim fell on the sword to take minutes |
Revision as of 20:29, 14 January 2010
Home < Engineering:TCON 20102010-01-14
Attendees: Katie Ben Casey Yin Tina Vince Jim Satra Nicole Lauren Hiro Fernando Chris Brian Dominik Ron
- Discussion of parallel processing using ipython for use with NA-MIC CT Colonography collaboration project. (confirmed).
- As a follow up people may be interested in the Enthought webinar on this topic 3pm eastern on Jan 22, 2010.
- Need real time processing speed. 10 fps for volume rendering. 5 minutes of image processing (down from 30 minutes)
- 512x512x1000 voxels
- GPU solutions or ipython solutions
- Python package for accessing to Slicer internals in a headless mode, i.e. run Slicer internals from Python instead of running Python from within Slicer
- Jim fell on the sword to take minutes