Difference between revisions of "2010 Winter Project Week Deformation Field Visualization"
From NAMIC Wiki
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==Key Investigators== | ==Key Investigators== | ||
| − | * UNC-Chapel Hill: Garrett Larson | + | * UNC-Chapel Hill: Garrett Larson, Martin Styner, Ipek Oguz |
| + | * Core 2 support: TBD at project week, Luis Ibanez | ||
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<h3>Objective</h3> | <h3>Objective</h3> | ||
| − | I am developing tools to measure and visualize | + | I am developing tools to measure and visualize deformation fields and tensors (with application to rodent brains). The goal is to produce a Log Euclidean map ITK filter and Slicer plugin for open source distribution. |
</div> | </div> | ||
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| − | * Develop Log Euclidean filter | + | * Develop Log Euclidean deformation field filter |
| − | * | + | * Develop external module for use in Slicer computing deformation tensor field and its logEuclidean map |
</div> | </div> | ||
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<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | + | * Produced ITK filter to create deformation tensor image from deformation field | |
| + | * Produced ITK filter to create log-Euclidean geodesic anisotropy image from deformation tensor image | ||
</div> | </div> | ||
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*Lepore et al. Generalized tensor-based morphometry of HIV/AIDS using multivariate statistics on deformation tensors. IEEE Transactions on Medical Imaging (2008) vol. 27 (1) pp. 129-41 | *Lepore et al. Generalized tensor-based morphometry of HIV/AIDS using multivariate statistics on deformation tensors. IEEE Transactions on Medical Imaging (2008) vol. 27 (1) pp. 129-41 | ||
*Lepore et al. Mean template for tensor-based morphometry using deformation tensors. Medical image computing and computer-assisted intervention : MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention (2007) vol. 10 (Pt 2) pp. 826-33 | *Lepore et al. Mean template for tensor-based morphometry using deformation tensors. Medical image computing and computer-assisted intervention : MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention (2007) vol. 10 (Pt 2) pp. 826-33 | ||
| + | *Vincent Arsigny, Olivier Commowick, Xavier Pennec, and Nicholas Ayache. A Log-Euclidean Framework for Statistics on Diffeomorphisms. In Proc. of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'06), LNCS, 2-4 October 2006. | ||
</div> | </div> | ||
Latest revision as of 15:46, 8 January 2010
Home < 2010 Winter Project Week Deformation Field Visualization
Key Investigators
- UNC-Chapel Hill: Garrett Larson, Martin Styner, Ipek Oguz
- Core 2 support: TBD at project week, Luis Ibanez
Objective
I am developing tools to measure and visualize deformation fields and tensors (with application to rodent brains). The goal is to produce a Log Euclidean map ITK filter and Slicer plugin for open source distribution.
Approach, Plan
- Develop Log Euclidean deformation field filter
- Develop external module for use in Slicer computing deformation tensor field and its logEuclidean map
Progress
- Produced ITK filter to create deformation tensor image from deformation field
- Produced ITK filter to create log-Euclidean geodesic anisotropy image from deformation tensor image
References
- Lepore et al. Generalized tensor-based morphometry of HIV/AIDS using multivariate statistics on deformation tensors. IEEE Transactions on Medical Imaging (2008) vol. 27 (1) pp. 129-41
- Lepore et al. Mean template for tensor-based morphometry using deformation tensors. Medical image computing and computer-assisted intervention : MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention (2007) vol. 10 (Pt 2) pp. 826-33
- Vincent Arsigny, Olivier Commowick, Xavier Pennec, and Nicholas Ayache. A Log-Euclidean Framework for Statistics on Diffeomorphisms. In Proc. of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'06), LNCS, 2-4 October 2006.
