Difference between revisions of "DBP2:MIND:RoadmapProject"
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<h1>Progress</h1> | <h1>Progress</h1> | ||
Plan is to release end-to-end tutorial at the 2008 Society for Neuroscience Annual meeting. | Plan is to release end-to-end tutorial at the 2008 Society for Neuroscience Annual meeting. | ||
| − | + | Deliverables for this week | |
| − | + | Intensity Standardization filter based on a bspline deformation of joint histograms to minimize KL-divergence. | |
| + | Integrate visualization of ROIs that lesions impinge upon. | ||
| + | interested in woring with the unbiased atlas work for lesion location | ||
| + | parametization of EM-Segment? | ||
</div> | </div> | ||
Revision as of 17:18, 23 June 2008
Home < DBP2:MIND:RoadmapProject Return to Project Week Main Page |
Key Investigators
- H. Jeremy Bockholt
- Mark Scully
- Ross Whitaker
- Steve Pieper
- Vincent Magnotta
- Kilian Pohl
- Brad Davis
- Marcel Prastawa
- Guido Gerig
- Sonja Pujol
Objective
Finish the roadmap module, design and implement a testing strategy and work on the end-to-end tutorial for white matter lesion classification
Approach, Plan
The Slicer3 module will allow co-registration of user-selected T1, T2, and FLAIR images. The module will automatically label all brain voxels into either gray, white, csf, or lesion as tissues types. Lesions will be automatically clustered such that the anatomical location and volume can be summarized.
Review and summarize results of each of classification approaches thus far.
Sketch out methods paper and clinical application paper.
Finalize content to be presented for SFN 2008 poster/presentation.
Work with Sonja on timeline and process for creating tutorial and process for release of tool and data (SFN 2008)?
Answer question, where do roadmap projects that share data, share it from, publication database, BIRN project, XNAT Central, other service, provide own?
Progress
Plan is to release end-to-end tutorial at the 2008 Society for Neuroscience Annual meeting. Deliverables for this week Intensity Standardization filter based on a bspline deformation of joint histograms to minimize KL-divergence. Integrate visualization of ROIs that lesions impinge upon. interested in woring with the unbiased atlas work for lesion location parametization of EM-Segment?
