Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01067007
Contributor : Bernadette Bergeret <>
Submitted on : Monday, September 22, 2014 - 5:34:02 PM
Last modification on : Thursday, January 11, 2018 - 6:23:22 AM

Identifiers

Collections

Citation

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⟩

Share

Metrics

Record views

121