Learning Tomography: TOC

 

Table of Contents of this series dedicated to tomography and to the various algorithms used to compute a reconstruction from a series of projections.

Learning Tomography: Managing Borders

How to manage borders in sinogram computation ?

Learning Tomography: Radon Transform

In the previous posts, I assume that the sinogram was already collected (or calculated) and we only focused on the process of reconstruction. Now, it is time to see how a sinogram can be computed from a given 2D slice (extracted from 3D data). 

Learning Tomography: 2D reconstruction in action

To see the Weighted Back-Projections 2D-reconstruction in action, I created a small video clip ...

Image Processing: Table of Contents

Image Processing: Table of Contents

To improve the navigation through CrazyBioComputing, this post groups all the tables of contents (TOC) of the various chapters I explore with ImageJ in the fields of image processing and analysis...

Learning Tomography: Weighted Back-Projection

In my last posts, we were able to compute a 2D-reconstruction from a series of 1D-projections ... but the result appears blurred. How can we fix this?

Learning Tomography: Improving our BackProj script

A small post to see how the IJ script can be improved to avoid the stack of intermediate back-projections which is very memory consuming.

Learning Tomography: Simple Back-Projection

The simple back-projection is one of the most popular algorithm used to reconstruct an object from a series of projections. In this post, we'll study how to reconstruct a 2D image from 1D-projections.