Difference between revisions of "2012 Summer Project Week:DifficultRegistration"
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<h3>Objective</h3> | <h3>Objective</h3> | ||
The object will be to identify solutions to difficult image registration problems that challenge the limits of current technology. Difficult aspects include (but are not limited to): | The object will be to identify solutions to difficult image registration problems that challenge the limits of current technology. Difficult aspects include (but are not limited to): | ||
| − | + | <ul> | |
| − | + | <li>inter-subject registration | |
| − | + | <li>truncation, missing tissue | |
| − | + | <li>unknown initialization (orientation, translation) | |
| − | + | <li>inter-species registration | |
| − | + | <li>articulated deformation | |
| + | </ul> | ||
</div> | </div> | ||
Revision as of 18:27, 21 May 2012
Home < 2012 Summer Project Week:DifficultRegistration
Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
Instructions for Use of this Template
- Please create a new wiki page with an appropriate title for your project using the convention 2012_Winter_Project_Week:<Project Name>
- Copy the entire text of this page into the page created above
- Link the created page into the list of projects for the project event
- Delete this section from the created page
- Send an email to tkapur at bwh.harvard.edu if you are stuck
Key Investigators
- Erasmus Medical Center: Stefan Klein
- University College London: Marc Modat
- UNC: Aditya Gupta, Martin Styner
- BWH: Matthew Toews, William Wells
Objective
The object will be to identify solutions to difficult image registration problems that challenge the limits of current technology. Difficult aspects include (but are not limited to):
- inter-subject registration
- truncation, missing tissue
- unknown initialization (orientation, translation)
- inter-species registration
- articulated deformation
Approach, Plan
TBA
Progress
TBADelivery Mechanism
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)
- ITK Module
- Slicer Module
- Built-in
- Extension -- commandline
- Extension -- loadable
- Other (Please specify)
References
- Fletcher P, Tao R, Jeong W, Whitaker R. A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI. Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
- Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Med Image Anal. 2006 Oct;10(5):786-98. PMID: 16926104.
- Corouge I, Fletcher P, Joshi S, Gilmore J, Gerig G. Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9. PMID: 16685838.
- Goodlett C, Corouge I, Jomier M, Gerig G, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .
