Wavelet based local tomographic image using terahertz techniques
| Autor: | Brad Ferguson, Derek Abbott, Brian W.-H. Ng, Xiaoxia Yin |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Tomographic reconstruction
Radon transform business.industry Terahertz radiation Applied Mathematics Process (computing) Image (mathematics) Wavelet Computational Theory and Mathematics Artificial Intelligence Region of interest Signal Processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence Time domain Electrical and Electronic Engineering Statistics Probability and Uncertainty business Mathematics |
| Zdroj: | Digital Signal Processing. 19:750-763 |
| ISSN: | 1051-2004 |
| DOI: | 10.1016/j.dsp.2008.06.009 |
| Popis: | Terahertz computed tomography has been developed based on coherent THz detection and filtered back projection (FBP) algorithms, which allows the global imaging of the internal structure and extraction of the frequency dependent properties. It offers a promising approach for achieving non-invasive inspection of solid materials. However, with traditional CT techniques, i.e. FBP algorithms, full exposure data are needed for inverting the Radon transform to produce cross sectional images. This remains true even if the region of interest is a small subset of the entire image. For time-domain terahertz measurements, the requirement for full exposure data is impractical due to the slow measurement process. This paper explores time domain reconstruction of terahertz measurements by applying wavelet-based filtered back projection algorithms for recovery of a local area 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 practise, to name a few applications. |
| Databáze: | OpenAIRE |
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