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Riemannian DTI Filters: Develop algorithms and ITK modules for basic image processing on tensor fields using Riemannian

Riemannian DTI Filters: Develop algorithms and ITK modules for basic image processing on tensor fields using Riemannian approaches. Plan/Expected Challenges/Publication. Team.

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Riemannian DTI Filters: Develop algorithms and ITK modules for basic image processing on tensor fields using Riemannian

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  1. Riemannian DTI Filters:Develop algorithms and ITK modules for basic image processing on tensor fields using Riemannian approaches. Plan/Expected Challenges/Publication Team Algorithms: development of Riemannian tensor processing ideas. Develop filters for interpolation, resampling, smoothing, etc. Saurav Basu, Utah (algorithms) (contact) Casey Goodlett, UNC (algorithms) Tom Fletcher, Utah (algorithms) Karthik Krishnan, Kitware Xiadong Tao, GE Software: Develop ITK filters that fit well with established frameworks for resampling, interpolation,et c. Clinical: Validation of results. Accomplished by end of Programming Week • Resolve Tensor/DWI IO Issues • ITK Registration Framework working on Vector/Tensor Images • Filters for Euclidean space processing of DTI • Progress on Symmetric space processing of DTI (Design of classes/filters established)

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