Optical tomographic image reconstruction with quasi-Newton methods

Alexander D. Klose, Andreas Hielscher

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

    Abstract

    Most of the currently existing image reconstruction algorithms for optical tomography (OT) can he formulated as an optimization problem. To find a minimum of an appropriately defined objective function, researchers in OT mostly rely on conjugate-gradient (CG) methods. In this work we have tested the performance of quasi-Newton methods, which prove to be superior to CG methods, both in terms of conversion time and image quality.

    Original languageEnglish (US)
    Title of host publicationBiomedical Topical Meeting, (Optica Publishing Group, 2002)
    DOIs
    StatePublished - 2002

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