Efficient iterative reconstruction with beam shape compensation for THz computed tomography

Terahertz (THz) computed tomography is an emerging nondestructive and non-ionizing imaging method. Most THz reconstruction methods rely on the Radon transform, originating from x-ray imaging, in which x rays propagate in straight lines. However, a THz beam has a finite width, and ignoring its shape...

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Bibliographic Details
Published in:Applied optics (2004) 2023-06, Vol.62 (17), p.F31
Main Authors: Lumbeeck, Lars-Paul, Paramonov, Pavel, Sijbers, Jan, De Beenhouwer, Jan
Format: Article
Language:English
Subjects:
Computed tomography
Convergence
Extreme values
Image reconstruction
Iterative methods
Nondestructive testing
Radon transformation
Straight lines
X ray imagery
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Summary:Terahertz (THz) computed tomography is an emerging nondestructive and non-ionizing imaging method. Most THz reconstruction methods rely on the Radon transform, originating from x-ray imaging, in which x rays propagate in straight lines. However, a THz beam has a finite width, and ignoring its shape results in blurred reconstructed images. Moreover, accounting for the THz beam model in a straightforward way in an iterative reconstruction method results in extreme demands in memory and in slow convergence. In this paper, we propose an efficient iterative reconstruction that incorporates the THz beam shape, while avoiding the above disadvantages. Both simulation and real experiments show that our approach results in improved resolution recovery in the reconstructed image. Furthermore, we propose a suitable preconditioner to improve the convergence speed of our reconstruction.
ISSN:1559-128X
2155-3165
DOI:10.1364/AO.482511