Ordered subsets convex algorithm for 3D terahertz transmission tomography
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Recur, B
Balacey, Hugo
Bou Sleiman, J
Perraud, J. B
Guillet, J.-P
Kingston, A
Mounaix, P
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Optical Society of America
Abstract
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.
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Optics Express
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Open Access