Tensor Estimation LLMSE 1.7 RC (Tensor_Estimation_LLMSE)

IACL.Modeling.Diffusion

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

Description

Log-linear minimum mean squared error tensor estimation.


Notes

Log-linear minimum mean squared error tensor estimation.
Inputs:
-DWI and Reference Image(s) Data (4D file collection)
-Table of diffusion weighting directions (file)
-Table of b-values (file)
-Mask Volume (3D file, optional)
Outputs:
-Tensor Estimate (4D file: rows, collums, slices, (xx,xy,xz,yy,yz,zz))

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
    Mask Volume to Determine Region of Tensor Estimation (3D) (Optional)
      FileCollection - Mask Volume to Determine Region of Tensor Estimation (3D)
      Attempt to estimate tensors for voxels with missing data? YesOption
      1. Yes
      2. No
      - Attempt to estimate tensors for voxels with missing data?


      Outputs

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


      Authors


      Citations



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