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Proceedings Paper

Expectation maximisation algorithms for terahertz transmission tomography
Author(s): B. Recur; H. Balacey; Patrick Mounaix
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Paper 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.

Paper Details

Date Published: 5 September 2014
PDF: 8 pages
Proc. SPIE 9199, Terahertz Emitters, Receivers, and Applications V, 91990O (5 September 2014); doi: 10.1117/12.2062476
Show Author Affiliations
B. Recur, The Australian National Univ. (Australia)
H. Balacey, LOMA, CNRS, Bordeaux Univ. (France)
Noctylio S.A.S (France)
Patrick Mounaix, LOMA, CNRS, Bordeaux Univ. (France)


Published in SPIE Proceedings Vol. 9199:
Terahertz Emitters, Receivers, and Applications V
Manijeh Razeghi; Alexei N. Baranov; John M. Zavada; Dimitris Pavlidis, Editor(s)

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