EDART, a discrete algebraic reconstructing technique for experimental data obtained with high resolution computed tomography

EDART, a discrete algebraic reconstructing technique for experimental data obtained with high resolution computed tomography.

A novel reconstruction method is presented to improve the image quality of three dimensional (3D) datasets for samples consisting of only one material and surrounding air, obtained with high resolution X-ray Computed Tomography (μCT). It combines discrete tomography with iterative reconstruction algorithms, it is applicable for routine μCT applications and is referred to as the Experimental Dis...

Computed tomography from limited data using a robust discrete algebraic reconstruction technique

Obtaining accurate reconstruction from a small number of projection images is of high importance in many tomography applications. Many advanced reconstruction techniques has been proposed in the past for limited data problems. Most of them achieve such goal by exploiting the prior information we have on the object under imaging. For example, it has been shown that if the object has rather spars...

High Resolution Computed Tomography

High Resolution Computed Tomography

High-resolution computed tomography

This paper investigates high-resolution reconstructions from eeciently sampled data in parallel-beam tomography, in particular local tomography. A class of sampling schemes is deened and characterized, and it is shown that the standard scheme and the interlaced scheme of Cormack are most promising. An error analysis for the ltered backprojection algorithm for both global and local tomography is...