A parallel reduced-space sequential-quadratic programming algorithm for frequency-domain small animal optical tomography

Xuejun Gu, Hyun K. Kim, James Masciotti, Andreas H. Hielscher

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    Computational speed and available memory size on a single processor are two limiting factors when using the frequency-domain equation of radiative transport (FD-ERT) as a forward and inverse model to reconstruct three-dimensional (3D) tomographic images. In this work, we report on a parallel, multiprocessor reducedspace sequential quadratic programming (RSQP) approach to improve computational speed and reduce memory requirement. To evaluate and quantify the performance of the code, we performed simulation studies employing a 3D numerical mouse model. Furthermore, we tested the algorithm with experimental data obtained from tumor bearing mice.

    Original languageEnglish (US)
    Article number717406
    JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Volume7174
    DOIs
    StatePublished - 2009
    EventOptical Tomography and Spectroscopy of Tissue VIII - San Jose, CA, United States
    Duration: Jan 25 2009Jan 27 2009

    Keywords

    • Equation of radiative transfer
    • Optical tomography
    • Parallel
    • PDE-constrained optimization

    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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