Difference between revisions of "Projects:DTIProcessingTools"

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(New page: Back to NA-MIC_Collaborations, Utah Algorithms = DTI Processing Tools = * 'Differential Geometry' We will provide methods for computing geod...)
 
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= DTI Processing Tools =
 
= DTI Processing Tools =
  
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* 'Differential Geometry' We will provide methods for computing geodesics and distances between diffusion tensors. Several different metrics will be made available, including a simple linear metric and also a symmetric space (curved) metric. These routines are the building blocks for the routines below.
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* We implement the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde etl. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction.
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* 'Statistics' Given a collection of diffusion tensors, compute the average and covariance statistics. This can be done using the metrics and geometry routines above. A general method for testing differences between groups is planned. The hypothesis test also depends on the underlying geometry used.
 
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* 'Interpolation' Interpolation routines will be implemented as a weighted averaging of diffusion tensors in the metric framework. The metric may be chosen so that the interpolation preserves desired properties of the tensors, e.g., orientation, size, etc.
 
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* 'Filtering' We will provide anisotropic filtering of DTI using the full tensor data (as opposed to component-wise filtering). Filtering will also be able to use the different metrics, allowing control over what properties of the tensors are preserved in the smoothing. We have also developed methods for filtering the original diffusion weighted images (DWIs) that takes the Rician distribution of MR noise into account (see MICCAI 2006 paper below).
 
  
 
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|[[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right).]]
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|[[Image:DTIUnregisted.jpg|thumb|512px|Coronal slice from a unregisted DTI (left). The same slice after applying the registration model  (right).]]
 
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= Description =
 
= Description =

Revision as of 19:06, 3 December 2007

Home < Projects:DTIProcessingTools

Back to NA-MIC_Collaborations, Utah Algorithms

DTI Processing Tools

  • We implement the diffusion weighted image (DWI) registration model from the paper of G.K.Rohde etl. Patient head motion and eddy currents distortion cause artifacts in maps of diffusion parameters computer from DWI. This model corrects these two distortions at the same time including brightness correction.
Coronal slice from a unregisted DTI (left). The same slice after applying the registration model (right).

Description

Key Investigators

Publications

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