Anatomical regularization methods for Optical Tomography

Sebastian Bartel, Alexander D. Klose, Andreas H. Hielscher

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

    Abstract

    The choice of an appropriate regularization method is of crucial importance in Optical Tomography, since this image problem is highly ill-posed. In this work we approach the regularization problem within an iterative image iterative reconstruction scheme. The image reconstruction is considered as a minimization of an appropriately defined objective function. The objective function is composed of a least-square-error term, which compares predicted and actual detector readings, and additional regularization terms. Choosing regularization functions that include some basic anatomical information can lead to significant improvement in the image reconstruction results.

    Original languageEnglish (US)
    Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    PublisherIEEE
    Pages1094
    Number of pages1
    ISBN (Print)0780356756
    StatePublished - 1999
    EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
    Duration: Oct 13 1999Oct 16 1999

    Publication series

    NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    Volume2
    ISSN (Print)0589-1019

    Other

    OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
    CityAtlanta, GA, USA
    Period10/13/9910/16/99

    ASJC Scopus subject areas

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

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