Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/44895
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Type: Conference paper
Title: Wavelet based local coherent tomography with an application in terahertz imaging
Author: Yin, X.
Ng, B.
Ferguson, B.
Abbott, D.
Citation: Computer Analysis of Images and Patterns / David Hutchison ... [et al.] (eds.):878-885
Publisher: Springer Berlin / Heidelberg
Publisher Place: Germany
Issue Date: 2007
Series/Report no.: Lecture Notes in Computer Science ; 4673/2007
ISBN: 9783540742715
ISSN: 0302-9743
1611-3349
Conference Name: International Conference on Computer Analysis of Images and Patterns, CAIP (12th : 2007 : Vienna, Austria)
Statement of
Responsibility: 
Xiao-Xia Yin, Brian W. -H. Ng, Bradley Ferguson and Derek Abbott
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.
Description: The original publication can be found at www.springerlink.com
RMID: 0020075469
DOI: 10.1007/978-3-540-74272-2_109
Appears in Collections:Electrical and Electronic Engineering publications

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