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  4. Terahertz Tomography with the Conjugate Gradient Least Squares Algorithm
 
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2020
Conference Paper
Title

Terahertz Tomography with the Conjugate Gradient Least Squares Algorithm

Abstract
In this work we report on the application of the conjugate gradient least squares (CGLS) algorithm in terahertz tomography. The algorithm outperforms most established reconstruction techniques, especially the widely used filtered back projection (FBP). The performance of the algorithms is tested with simulated projection data as well as measured data from a frequency-modulated continuous-wave transmission tomography setup operating from 230 to 320 GHz. A 2D image of a test scene is reconstructed. This algorithm promises great improvement for the application of terahertz tomography in the field of non-destructive testing.
Author(s)
May, K.H.
Keil, A.
Freymann, G. von
Friederich, F.
Mainwork
45th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2020  
Conference
International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) 2020  
DOI
10.1109/IRMMW-THz46771.2020.9370953
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
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