Learning Tomography: Advanced DFR Implementation

The Direct Fourier Reconstruction (DFR) implementation previously published (Part II:  [Link]) works correctly. However, the polar to cartesian conversion is not very efficient because there are missing pixels in the 2D Fourier space. Modifying the source code can easily fixed this problem...

Learning Tomography: Fourier Rec. in Action

In this (long) series of posts dedicated to Direct Fourier Reconstruction, just a small break with a movie summarizing the steps to compute a 2D reconstruction image...

Learning Tomography: Zero Padding

In the last post [Link], we were able to reconstruct our image. However, the result was encouraging but a little bit disappointing. Fortunately, this can be improved by allowing the computation of Fourier transforms with higher precision.

Learning Tomography: Fourier Rec. - Part II

In this series dedicated to Direct Fourier Reconstruction technique, here is the second (and final) part of the implementation corresponding to the filling of the 2D Fourier space.

Learning Tomography: Fourier Rec. - Part I

First part of this series dedicated to the implementation of Direct Fourier Reconstruction technique: the computation of the Fourier transform of the sinogram.