Expectation maximisation algorithms for terahertz transmission tomography

Benoît Recur (1) , Hugo Balacey (2) , Patrick Mounaix (2)

1 Department of Applied Mathematics (Canberra)
2 LOMA - Laboratoire Ondes et Matière d'Aquitaine

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.

Mots clés: Expectation maximization algorithms; Tomography; Terahertz radiation; 3D modeling; Inspection; Opacity; Scanners

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. pp.91990O (1-8), ⟨10.1117/12.2062476⟩. ⟨hal-01067007⟩