Parametric reconstruction method in optical tomograhy

Xuejun Gu, Kui Ren, James Masciotti, Andreas H. Hielscher

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Optical tomography consists of reconstructing the spatial of a medium's optical properties from measurements of transmitted light on the boundary of the medium. Mathematically this problem amounts to parameter identification for the radiative transport equation (ERT) or diffusion approximation (DA). However, this type of boundary-value problem is highly ill-posed and the image reconstruction process is often unstable and non-unique. To overcome this problem, we present a parametric inverse method that considerably reduces the number of variables being reconstructed. In this way the amount of measured data is equal or larger than the number of unknowns. Using synthetic data, we show examples that demonstrate how this approach leads to improvements in imaging quality.

    Original languageEnglish (US)
    Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
    Pages2667-2670
    Number of pages4
    DOIs
    StatePublished - 2006
    Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
    Duration: Aug 30 2006Sep 3 2006

    Publication series

    NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    ISSN (Print)0589-1019

    Other

    Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
    CountryUnited States
    CityNew York, NY
    Period8/30/069/3/06

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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