# what's here

1. RawData/* [xt_dwi.nhdr, dwi.img, xt_dwi.mhd] 
   (Diffusion weighted raw data with NRRD and MHD headers)
   [ Note: you need to gunzip dwi.img.gz ]

   - Diffusion weighted data
   - T0 reference image
   - 30 gradient images : Gradients
    DW_gradient_001 ---> -1.000000   0.000000        0.000000
    DW_gradient_002 ---> -0.166000   0.986000        0.000000
    DW_gradient_003 ---> 0.110000    0.664000        0.740000
    DW_gradient_004 ---> -0.901000   -0.419000       -0.110000
    DW_gradient_005 ---> 0.169000    -0.601000       0.781000
    DW_gradient_006 ---> 0.815000    -0.386000       0.433000
    DW_gradient_007 ---> -0.656000   0.366000        0.660000
    DW_gradient_008 ---> -0.582000   0.800000        0.143000
    DW_gradient_009 ---> -0.900000   0.259000        0.350000
    DW_gradient_010 ---> -0.693000   -0.698000       0.178000
    DW_gradient_011 ---> -0.357000   -0.924000       -0.140000
    DW_gradient_012 ---> -0.543000   -0.488000       -0.683000
    DW_gradient_013 ---> 0.525000    -0.396000       0.753000
    DW_gradient_014 ---> 0.639000    0.689000        0.341000
    DW_gradient_015 ---> 0.330000    -0.013000       -0.944000
    DW_gradient_016 ---> 0.524000    -0.783000       0.335000
    DW_gradient_017 ---> -0.609000   -0.065000       -0.791000
    DW_gradient_018 ---> -0.220000   -0.233000       -0.947000
    DW_gradient_019 ---> 0.004000    -0.910000       -0.415000
    DW_gradient_020 ---> 0.511000    0.627000        -0.589000
    DW_gradient_021 ---> -0.414000   0.737000        0.535000
    DW_gradient_022 ---> 0.679000    0.139000        -0.721000
    DW_gradient_023 ---> -0.884000   -0.296000       0.362000
    DW_gradient_024 ---> -0.262000   0.432000        0.863000
    DW_gradient_025 ---> -0.088000   0.185000        -0.979000
    DW_gradient_026 ---> -0.294000   -0.907000       0.302000
    DW_gradient_027 ---> -0.887000   -0.089000       -0.453000
    DW_gradient_028 ---> -0.257000   -0.443000       0.859000
    DW_gradient_029 ---> -0.086000   0.867000        -0.491000
    DW_gradient_030 ---> -0.863000   0.504000        -0.025000
     
2. Reconstructed/
    Gradient, reference images and FA image extracted from (1).
    
    They were extracted using
    Insight/Examples/Filtering/DiffusionTensorReconstructionImageFilter 
    arguments: xt_dwi.nhdr 80 FA.mhd 1
    

3. ITKTesting/
   
   A portion of the Tensor image reconstructed using 
    Insight/Examples/Filtering/DiffusionTensorReconstructionImageFilter
    
   The portion corresponds to the corpus callosum (running from co-ordinate
    (90,180,60)-(161,180,72.5) ). Note: physical co-ordinates.
 
   The PixelType is itk::Image< DiffusionTensor3D< double, 3 >, 3 >
   (Note: An image file writer instantiated over pixels of this type will write out 
          a six component image, since a tensor is a symmetric 3x3 pixel)

   The correspoding FA of the corpus callosum is also written out.