Difference between revisions of "2017 Winter Project Week/LORDWI"
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| + | __NOTOC__ | ||
| + | <gallery> | ||
| + | Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]] | ||
| + | Image:FigCancerResult1.png | ||
| + | Image:FigHCPResult1.png | ||
| + | Image:FigHCPResult2.png | ||
| + | <!-- Use the "Upload file" link on the left and then add a line to this list like "File:MyAlgorithmScreenshot.png" --> | ||
| + | </gallery> | ||
| + | |||
==Key Investigators== | ==Key Investigators== | ||
* Henrik Groenholt Jensen, UCPH | * Henrik Groenholt Jensen, UCPH | ||
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* Tina Kapur, BWH | * Tina Kapur, BWH | ||
* Fan Zhang, BWH | * Fan Zhang, BWH | ||
| − | * Carl- | + | * Carl-Fredrik Westin, BWH |
==Project Description== | ==Project Description== | ||
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<!-- Objective bullet points --> | <!-- Objective bullet points --> | ||
| − | * Evaluate/validate density-based | + | * '''Objective''': Evaluate/validate a density-based non-rigid registration framework for DWI (see the link below for a paper on similarity measure used). <br>''In short: Is this a good registration?'' |
| + | * '''Short description''': The model is based on Free-Form Deformation B-splines where the diffusion gradient directions are updated using the normalized Jacobian. B-spline interpolation is used spatially, the Watson Distribution is used (gradient) directionally. Histogram is smoothed. Similarity is NMI and optimisation is L-BFGS. | ||
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<!-- Approach and Plan bullet points --> | <!-- Approach and Plan bullet points --> | ||
| − | * | + | * Discuss best ways to validate results (tractography, biomarkers, synthetic data, phantoms, others?). So far we have visually tested inter-subject registrations of HCP data, intra-subject multi-shell, and intra-subject on child brain tumor subjects. |
| + | * Figure out anyone is in need of DWI registration for testing, have a dataset already registered (for comparison), or can help with anatomical landmarks. | ||
| + | * Consider if Slicer can be used in tandem for evaluation. | ||
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<!-- Progress and Next steps bullet points (fill out at the end of project week) --> | <!-- Progress and Next steps bullet points (fill out at the end of project week) --> | ||
| − | * | + | The goal was too lofty but the week was excellent. |
| + | * Had a lot of great discussions and good insight into what others are doing. | ||
| + | * Got working on acquiring data from different sources (more problems are always welcome!) | ||
| + | * Shared some experiences. | ||
| + | * Got a nice introduction to Slicer. | ||
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|} | |} | ||
==Background and References== | ==Background and References== | ||
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | <!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | ||
| + | * MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37 | ||
Latest revision as of 15:45, 13 January 2017
Home < 2017 Winter Project Week < LORDWI
Key Investigators
- Henrik Groenholt Jensen, UCPH
- Lauren J. O'Donnell, BWH
- Tina Kapur, BWH
- Fan Zhang, BWH
- Carl-Fredrik Westin, BWH
Project Description
| Objective | Approach and Plan | Progress and Next Steps |
|---|---|---|
|
|
The goal was too lofty but the week was excellent.
|
Background and References
- MICCAI paper on early framework: http://link.springer.com/chapter/10.1007/978-3-319-24571-3_37
