Ordered subsets convex algorithm for 3D terahertz transmission tomography
Langue
en
Article de revue
Ce document a été publié dans
Optics Express. 2014-09-22, vol. 22, n° 19, p. 23299-23309
Optical Society of America - OSA Publishing
Résumé en anglais
We investigate in this paper a new reconstruction method in order to perform 3D Terahertz (THz) tomography using a continuous wave acquisition setup in transmission mode. This method is based on the Maximum Likelihood for ...Lire la suite >
We investigate in this paper a new reconstruction method in order to perform 3D Terahertz (THz) tomography using a continuous wave acquisition setup in transmission mode. This method is based on the Maximum Likelihood for TRansmission tomography (ML-TR) first developed for X-ray imaging. We optimize the Ordered Subsets Convex (OSC) implementation of the ML-TR by including the Gaussian propagation model of THz waves and take into account the intensity distributions of both blank calibration scan and dark-field measured on THz detectors. THz ML-TR reconstruction quality and accuracy are discussed and compared to other tomographic reconstructions.< Réduire
Mots clés en anglais
(100.6890) Three-dimensional image processing
(170.3010) Image reconstruction techniques
(120.5800) Scanners.
(120.5800) Scanners
(110.6955) Tomographic imaging
(110.6795) Terahertz imaging
Project ANR
Integrated Postal Supply Chain Security - ANR-11-SECU-0010
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