Transport-theory based multispectral imaging with PDE-constrained optimization

Hyun K. Kim, Molly Flexman, Darrell J. Yamashiro, Jessica J. Kandel, Andreas H. Hielscher

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

    Abstract

    We introduce here a transport-theory-based PDE-constrained multispectral imaging algorithm for direct reconstruction of the spatial distribution of chromophores in tissue. The method solves the forward and inverse problems simultaneously in the framework of a reduced Hessian sequential quadratic programming method. The performance of the new algorithm is evaluated using numerical and experimental studies involving tumor bearing mice. The results show that the PDE-constrained multispectral method leads to 15-fold acceleration in the image reconstruction of tissue chromophores when compared to the unconstrained multispectral approach and also gives more accurate results when compared to the traditional two-step method.

    Original languageEnglish (US)
    Title of host publicationOptical Tomography and Spectroscopy of Tissue IX
    DOIs
    StatePublished - 2011
    EventOptical Tomography and Spectroscopy of Tissue IX - San Francisco, CA, United States
    Duration: Jan 23 2011Jan 26 2011

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Volume7896
    ISSN (Print)1605-7422

    Conference

    ConferenceOptical Tomography and Spectroscopy of Tissue IX
    CountryUnited States
    CitySan Francisco, CA
    Period1/23/111/26/11

    Keywords

    • Multispectral imaging
    • pde-constrained optimization
    • radiative transfer equation

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Biomaterials
    • Atomic and Molecular Physics, and Optics
    • Radiology Nuclear Medicine and imaging

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