Title
DART : a practical reconstruction algorithm for discrete tomography DART : a practical reconstruction algorithm for discrete tomography
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
article
Publication
New York, N.Y. ,
Subject
Physics
Source (journal)
IEEE transactions on image processing. - New York, N.Y.
Volume/pages
(2011)
ISSN
1057-7149
ISI
000294132800012
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
In this paper, we present an iterative reconstruction algorithm for discrete tomography, called DART (Discrete Algebraic Reconstruction Technique). DART can be applied if the scanned object is known to consist of only a few different compositions, each corresponding to a constant grey value in the reconstruction. Prior knowledge of the grey values for each of the compositions is exploited to steer the current reconstruction towards a reconstruction that contains only these grey values. Based on experiments with both simulated CT data and experimental CT data, it is shown that DART is capable of computing more accurate reconstructions from a small number of projection images, or from a small angular range, than alternative methods. It is also shown that DART can deal effectively with noisy projection data and that the algorithm is robust with respect to errors in the estimation of the grey values.
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