Tensor Estimation Likelihood 1.6 RC (Tensor_Estimation_Likelihood)

IACL.Modeling.Diffusion

[edu.jhu.ece.iacl.plugins.dti.DWITensorEstLikelihood]

Description

Diffusion Tensor Estimation by Maximizing Rician Likelihood.


Notes

Diffusion Tensor Estimation by Maximizing Rician Likelihood.Tensor Estimation while taking into account the joint
distribution of all observed data in the context of an
augmented tensor model to account for variable levels of
Rician noise.
Inputs:
-DWI and Reference Image(s) Data (4D file collection)
-Table of diffusion weighting directions (file)
-Table of b-values (file)
-Table of k-Space Average (file)
-Mask Volume to Determine Region of Tensor Estimation (3D file, optional)
-Noise Field (3D file, optional)
-Constant Noise Level (float)

See citation for more info.

Inputs

Name Default Type File Extension Description
DWI and Reference Image(s) Data (4D)
    FileCollection - DWI and Reference Image(s) Data (4D)
    Table of diffusion weighting directions NoneFile - Table of diffusion weighting directions
    Table of b-values NoneFile - Table of b-values
    Table of k-Space Average NoneFile - Table of k-Space Average
    Mask Volume to Determine Region of Tensor Estimation (3D) (Optional)
      FileCollection - Mask Volume to Determine Region of Tensor Estimation (3D)
      Noise Field (Optional)
        FileCollection - Noise Field
        Constant Noise Level 0Float - Constant Noise Level


        Outputs

        Name Type File Extension Description
        Tensor (xx,xy,xz,yy,yz,zz) FileCollection - Tensor (xx,xy,xz,yy,yz,zz)
        Noise Field FileCollection - Noise Field
        Reference FileCollection - Reference
        Execution Time Performance - Execution Time


        Authors


        Citations



        Last modified by VANDERBILT\landmaba on Thu, 21 Jan 2010 14:27:27 CST