Camino Two Tensor Estimation 1.8 beta (Camino_Two_Tensor_Estimation)

Camino.Modeling.Diffusion.WholeVolume

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

Description

Log-linear minimum mean squared error tensor estimation.


Notes

Log-linear minimum mean squared error tensor estimation.

Inputs

Name Default Type File Extension Description
DWI and Reference Image(s) Data (4D) DWI and Reference Image(s) Data (4D)Volume
  • dim{X,Y,Z,T}
  • type{any}
Supported Formats DWI and Reference Image(s) Data (4D)
CAMINO DTI Description (SchemeV1) NoneFile - CAMINO DTI Description (SchemeV1)
Mask Volume to Determine Region of Tensor Estimation (3D) (Optional) Mask Volume to Determine Region of Tensor Estimation (3D)Volume
  • dim{X,Y,Z,1}
  • type{any}
Supported Formats Mask Volume to Determine Region of Tensor Estimation (3D)
Two-Tensor Model Fitter Both Positive DefiniteOption
  1. Cylindrically Symmetric
  2. Cylindrically Symmetric (equal fraction)
  3. Both Positive Definite
  4. Both Positive Definite (equal fraction)
  5. Pos. Def. + Cyl. Sym.
  6. Pos. Def. + Cyl. Sym. (equal fraction)
- Two-Tensor Model Fitter
One-Tensor Initialization LinearOption
  1. Algebraic
  2. Linear
  3. NonLinear
  4. RESTORE
  5. WeightedLinear
- One-Tensor Initialization
Noise Level (RESTORE only) 0Float - Noise Level (RESTORE only)


Outputs

Name Type File Extension Description
Mixture Fraction for Tensor 1 Volume
  • dim{X,Y,Z,1}
  • type{any}
xml Mixture Fraction for Tensor 1
Tensor 1 (xx,xy,xz,yy,yz,zz) Volume
  • dim{X,Y,Z,6}
  • type{any}
xml Tensor 1 (xx,xy,xz,yy,yz,zz)
Mixture Fraction for Tensor 2 Volume
  • dim{X,Y,Z,1}
  • type{any}
xml Mixture Fraction for Tensor 2
Tensor 2 (xx,xy,xz,yy,yz,zz) Volume
  • dim{X,Y,Z,6}
  • type{any}
xml Tensor 2 (xx,xy,xz,yy,yz,zz)
Exit Code Volume
  • dim{X,Y,Z,1}
  • type{any}
xml Exit Code
Intensity Volume
  • dim{X,Y,Z,1}
  • type{any}
xml Intensity
Execution Time Performance - Execution Time


Authors


Citations



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