Difference between revisions of "SidongLiu Update"
From NAMIC Wiki
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* April 11 | * April 11 | ||
**The fiber selection function can be found in Diffusion -> Tractography -> FiberBundleLabelSelect module. | **The fiber selection function can be found in Diffusion -> Tractography -> FiberBundleLabelSelect module. | ||
| − | **The fiber bundle cropping function can be found in Tractography Display module. | + | **The fiber bundle cropping function can be found in Tractography Display module. http://wiki.slicer.org/slicerWiki/index.php/Documentation/4.3/Modules/TractographyDisplay |
| − | http://wiki.slicer.org/slicerWiki/index.php/Documentation/4.3/Modules/TractographyDisplay | ||
**Sidong's next task would be learn qt.QImage object and see how to manipulate it in Python. Check Steve's code at https://github.com/pieper/CompareVolumes/blob/master/CompareVolumes.py | **Sidong's next task would be learn qt.QImage object and see how to manipulate it in Python. Check Steve's code at https://github.com/pieper/CompareVolumes/blob/master/CompareVolumes.py | ||
**A control panel style mosaic to flexibly display different teams or patients. A summary table showing the statistics. | **A control panel style mosaic to flexibly display different teams or patients. A summary table showing the statistics. | ||
Revision as of 21:50, 11 April 2014
Home < SidongLiu Update- April 7-11
- CMIG journal revised version submission
- ACM MM abstract preparation
- Work on DTI Editor module ("tract extractor")
- April 11
- The fiber selection function can be found in Diffusion -> Tractography -> FiberBundleLabelSelect module.
- The fiber bundle cropping function can be found in Tractography Display module. http://wiki.slicer.org/slicerWiki/index.php/Documentation/4.3/Modules/TractographyDisplay
- Sidong's next task would be learn qt.QImage object and see how to manipulate it in Python. Check Steve's code at https://github.com/pieper/CompareVolumes/blob/master/CompareVolumes.py
- A control panel style mosaic to flexibly display different teams or patients. A summary table showing the statistics.
