Paper
5 September 2014 Expectation maximisation algorithms for terahertz transmission tomography
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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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Recur, H. Balacey, and Patrick Mounaix "Expectation maximisation algorithms for terahertz transmission tomography", Proc. SPIE 9199, Terahertz Emitters, Receivers, and Applications V, 91990O (5 September 2014); https://doi.org/10.1117/12.2062476
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Reconstruction algorithms

Terahertz radiation

Tomography

Expectation maximization algorithms

3D modeling

3D acquisition

Algorithm development

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