July31T-con/PlayingWithTheDiffusionData

Exploring the Upsampling of the BWH Diffusion Data

Extracting one a slice for one of the gradient directions of the diffusion data results in an image like this:

A two-dimensional Fourier transform leads the following magnitude images (uncentered and centered):

Representing this in the log-domain results in

Cutting away everything that should ideally be zero gives this Fourier log-image:

An inverse Fourier transform followed by discretization results in:

The result is slighly smoother than the original, which is sensible since we essentially low-pass filtered the result.

The difference between original and reconstruction is not great, but still shows a little bit of structure:

In case you want to recreate the results. Here is the matlab script dwiTstScript.m. And here is the data SampleDWIDataSlice.tar.gz.