Expectation maximisation algorithms for terahertz transmission tomography

Abstract : Terahertz (THz) tomography is a recently developed imaging technique allowing 3D inspection of opaque objects. In this paper, we develop an ordered subsets convex algorithm for THz transmission tomography (THz-OSC). Since the reconstruction quality is highly depending on the THz beam energy, we investigate afterwards a multienergy version of the algorithm in order to provide a more accurate reconstruction of the acquired sample. This multi-energy approach is validated by reconstructing data from tomographic acquisitions measured with a 84/287 GHz transmission scanner. Then we discuss how this dual-energy approach could be able to extract physical properties of acquired samples in addition to improving 3D reconstruction.
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Communication dans un congrès
SPIE Optics, Photonics, Optical Engineering, Applications, Aug 2014, San Diego, California, United States. 9199, pp.91990O (1-8), 2014, <10.1117/12.2062476>
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Contributeur : Bernadette Bergeret <>
Soumis le : lundi 22 septembre 2014 - 17:34:02
Dernière modification le : lundi 22 septembre 2014 - 17:34:02

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Benoît Recur, Hugo Balacey, Patrick Mounaix. Expectation maximisation algorithms for terahertz transmission tomography. SPIE Optics, Photonics, Optical Engineering, Applications, Aug 2014, San Diego, California, United States. 9199, pp.91990O (1-8), 2014, <10.1117/12.2062476>. <hal-01067007>

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