Wavelet based local coherent tomography with an application in terahertz imaging

  • Authors:

  • Xiao-Xia Yin;Brian W.-H. Ng;Bradley Ferguson;Derek Abbott

  • Affiliations:

  • Centre for Biomedical Engineering, School of Electrical & Electronic Engineering, The University of Adelaide, Australia;Centre for Biomedical Engineering, School of Electrical & Electronic Engineering, The University of Adelaide, Australia;Tenix Defence Systems Pty Ltd, Technology Park, Mawson Lakes;Centre for Biomedical Engineering, School of Electrical & Electronic Engineering, The University of Adelaide, Australia

  • Venue:
  • CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
  • Year:
  • 2007

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Abstract

Terahertz Computed Tomography (THz-CT) is a form of optical coherent tomography, which offers a promising approach for achieving non-invasive inspection of solid materials, with potentially numerous applications in industrial manufacturing and biomedical engineering. With traditional CT techniques such as X-ray tomography, full exposure data are needed to produce cross sectional images, even if the region of interest is small. For time-domain terahertz measurements, the requirement for full exposure data is impractical due to the slow measurement process. In this paper, we apply a wavelet-based algorithm to locally reconstruct THz-CT images with a significant reduction in the required measurements. The algorithm recovers an approximation of the region of interest from terahertz measurements within its vicinity, and thus improves the feasibility of using terahertz imaging to detect defects in solid materials and diagnose disease states for clinical practice.