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AIR Tools - A MATLAB Package for Algebraic Iterative ...

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Chapter 1<br />

Introduction<br />

In the beginning of the 20th century the Polish mathematician Stefan Kaczmarz<br />

[27] and the Italian mathematician Gianfranco Cimmino [8] independently developed<br />

iterative algorithms <strong>for</strong> solving linear systems. In 1970 Gordon, Bender<br />

and Herman rediscovered Kaczmarz’s method applied in medical imaging [17].<br />

They called the method ART (<strong>Algebraic</strong> Reconstruction Technique) and when<br />

Houndsfield patented the first CT-scanner in 1972, which awarded him together<br />

with Cormark the Nobel Prize in 1979, the classical methods found their practical<br />

purpose in tomograpgy [24]. The word tomography means reconstruction<br />

from slices. After the invention of the CT-scanner several new methods familiar<br />

with the old classical methods were developed.<br />

This master thesis deals with the classical Kaczmarz’s and Cimmino’s methods<br />

but also with the methods familiar with these methods. We divide the gathered<br />

methods into two main categories, the SIRT and the ART methods, and present<br />

strategies <strong>for</strong> choosing the relaxation parameter and different stopping rules.<br />

We will compare the per<strong>for</strong>mance of different methods and different strategies<br />

on a test problem derived from medical tomography.

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