Difference between revisions of "Projects/Slicer3/2007 Project Week Slicer Matlab Pipeline for scalars and tensors"
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− | + | {| | |
+ | |[[Image:ProjectWeek-2007.png|thumb|320px|Return to [[2007_Programming/Project_Week_MIT|Project Week Main Page]] ]] | ||
+ | |} | ||
− | == | + | __NOTOC__ |
+ | ===Key Investigators=== | ||
+ | * BWH: Katharina Quintus | ||
+ | * Isomics: Steve Pieper | ||
+ | * BWH: Sylvain Bouix | ||
− | + | ||
+ | <div style="margin: 20px;"> | ||
+ | |||
+ | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
+ | <h1>Objective</h1> | ||
+ | To improve and test extend the pipeline for tensors. | ||
+ | |||
+ | |||
+ | </div> | ||
+ | |||
+ | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
+ | |||
+ | <h1>Approach, Plan</h1> | ||
+ | |||
+ | * Pipe data from running Slicer3 to Matlab and back to do quick prototyping with Matlab | ||
+ | |||
+ | * Provide matlab tools for tensor transformation from IJK space to gradient space and the other way around | ||
+ | ** Test if these transformations in matlab are consistent with vtkNRRDReader | ||
+ | ** Quantify numerical error when transformation from ijk space to gradient space and back to ijk space is done. | ||
+ | |||
+ | * Application testing | ||
+ | </div> | ||
+ | |||
+ | <div style="width: 40%; float: left;"> | ||
+ | |||
+ | <h1>Progress</h1> | ||
+ | |||
+ | </div> | ||
+ | |||
+ | <br style="clear: both;" /> | ||
+ | |||
+ | </div> | ||
+ | |||
+ | |||
+ | ===References=== | ||
+ | |||
+ | =Additional Information= | ||
+ | |||
+ | ====Introduction==== | ||
+ | |||
+ | * bla | ||
+ | |||
+ | * blu | ||
+ | ---- | ||
+ | |||
+ | [[2007_Programming/Project_Week_MIT|Back to Project week]] |
Revision as of 20:46, 20 June 2007
Home < Projects < Slicer3 < 2007 Project Week Slicer Matlab Pipeline for scalars and tensors
Key Investigators
- BWH: Katharina Quintus
- Isomics: Steve Pieper
- BWH: Sylvain Bouix
Objective
To improve and test extend the pipeline for tensors.
Approach, Plan
- Pipe data from running Slicer3 to Matlab and back to do quick prototyping with Matlab
- Provide matlab tools for tensor transformation from IJK space to gradient space and the other way around
- Test if these transformations in matlab are consistent with vtkNRRDReader
- Quantify numerical error when transformation from ijk space to gradient space and back to ijk space is done.
- Application testing
Progress
References
Additional Information
Introduction
- bla
- blu