A PDE-constrained optimization approach to optical tomography

Xuejun Gu, Andreas H. Hielscher

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    We report on the first formulation of the inverse problem in optical tomography within the framework of PDE-constrained optimization and combine Newton's method for numerical optimization with a Krylov subspace solver. This approach leads to reduced memory requirements and increased convergence speed.

    Original languageEnglish (US)
    PagesBSuE39
    DOIs
    StatePublished - 2008
    EventBiomedical Optics, BIOMED 2008 - St. Petersburg, FL, United States
    Duration: Mar 16 2008Mar 19 2008

    Other

    OtherBiomedical Optics, BIOMED 2008
    CountryUnited States
    CitySt. Petersburg, FL
    Period3/16/083/19/08

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Biomaterials
    • Electronic, Optical and Magnetic Materials
    • Atomic and Molecular Physics, and Optics

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