# Getting Started

Here is a quick snippet showing how to calculate color FA also known as the DEC map. We use a Tensor model to reconstruct the datasets which are saved in a Nifti file along with the b-values and b-vectors which are saved as text files. Finally, we save our result as a Nifti file

    fdwi = 'dwi.nii.gz'
    fbval = 'dwi.bval'
    fbvec = 'dwi.bvec'

    from dipy.io.image import load_nifti, save_nifti
    from dipy.io import read_bvals_bvecs
    from dipy.core.gradients import gradient_table
    from dipy.reconst.dti import TensorModel

    data, affine = load_nifti(fdwi)
    bvals, bvecs = read_bvals_bvecs(fbval, fbvec)
    gtab = gradient_table(bvals, bvecs=bvecs)

    tenmodel = TensorModel(gtab)
    tenfit = tenmodel.fit(data)

    save_nifti('colorfa.nii.gz', tenfit.color_fa, affine)

As an exercise, you can try to calculate color FA with your datasets. You will need to replace the filepaths fdwi, fbval and fbvec. Here is what a slice should look like.

# Next Steps

You can learn more about how to use DIPY with your datasets by reading the examples in our examples.