Difference between revisions of "2010 Winter Project Week Deformation Field Visualization"

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==Key Investigators==
 
==Key Investigators==
* UNC-Chapel Hill: Garrett Larson
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* UNC-Chapel Hill: Garrett Larson, Martin Styner, Ipek Oguz
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* 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 diffusion tensors in rodent brains. The goal is to produce a Log Euclidean map ITK filter and Slicer plugin for open source distribution.
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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.
  
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
* Develop Log Euclidean filter
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* Develop Log Euclidean deformation field filter
* Adapt filter for use in Slicer
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* Develop external module for use in Slicer computing deformation tensor field and its logEuclidean map
  
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
 
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* Produced ITK filter to create deformation tensor image from deformation field
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* Produced ITK filter to create log-Euclidean geodesic anisotropy image from deformation tensor image
 
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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.
 
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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.