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Ordered subsets convex algorithm for 3D terahertz transmission tomography

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Date

2014

Authors

Recur, B
Balacey, Hugo
Bou Sleiman, J
Perraud, J. B
Guillet, J.-P
Kingston, A
Mounaix, P

Journal Title

Journal ISSN

Volume Title

Publisher

Optical Society of America

Abstract

We investigate in this paper a new reconstruction method in order to perform 3D Terahertz (THz) tomography using a continuous wave acquisition setup in transmission mode. This method is based on the Maximum Likelihood for TRansmission tomography (ML-TR) first developed for X-ray imaging. We optimize the Ordered Subsets Convex (OSC) implementation of the ML-TR by including the Gaussian propagation model of THz waves and take into account the intensity distributions of both blank calibration scan and dark-field measured on THz detectors. THz ML-TR reconstruction quality and accuracy are discussed and compared to other tomographic reconstructions.

Description

Keywords

Citation

URI

http://hdl.handle.net/1885/102009

Collections

ANU Research Publications

Source

Optics Express

Type

Journal article

Book Title

Entity type

Access Statement

Open Access

License Rights

DOI

10.1364/OE.22.023299

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