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    Development of a beam optimization method for absorption-based tomography

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    Authors
    Yu, Tao
    Tian, Bo
    Cai, Weiwei
    Affiliation
    Shanghai Jiao Tong University, Shanghai, China
    University of Cambridge
    Issue Date
    2017-03-07
    
    Metadata
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    Abstract
    Absorption tomography is an imaging technique that has been used simultaneously to image multiple scalar parameters, such as temperature and species concentration for combustion diagnostics. Practical combustors, such as internal combustion engines and gas turbine engines, only allow limited optical access, and typically a few (ca. 20-40) beams are available to probe the domain of interest. With such limited spatial sampling, it is non-trivial to optimize beam arrangement for a faithful reconstruction. Previous efforts on beam optimization rely on either heuristic/empirical methods lacking rigorous mathematical derivation or were derived by assuming certain prior information in the tomographic inversion. This paper aims to develop an approach that is expected to be especially useful when prior information is not easily available or intended to be included in the inversion processes. We demonstrate that the orthogonality between rows of the weight matrix directly correlates with reconstruction fidelity and can be used as an effective predictor for beam optimization. A systematic comparison between our method and the existing ones in the literature suggests the validity of our method. We expect this method to be valuable for not only the absorption tomography but also other tomographic modalities.
    Citation
    Yu, T., Tian, B. and Cai, W., (2017). 'Development of a beam optimization method for absorption-based tomography'. Optics express, 25(6), pp. 5982-5999.
    Publisher
    The Optical Society
    Journal
    Optics Express
    URI
    http://hdl.handle.net/10545/624866
    DOI
    10.1364/oe.25.005982
    Additional Links
    https://www.osapublishing.org/oe/abstract.cfm?uri=oe-25-6-5982
    Type
    Article
    Language
    en
    EISSN
    1094-4087
    ae974a485f413a2113503eed53cd6c53
    10.1364/oe.25.005982
    Scopus Count
    Collections
    Department of Mechanical Engineering & the Built Environment

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