A VLSI design of singular value decomposition processor for portable continuous-wave diffusion optical tomography systems

Shih Kang*, Shih Yang Wu, Yuan Huang Hsu, Chih Chung Fu, Wai-Chi  Fang

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations

    Abstract

    In recent years, developments in diffuse optical tomography (DOT) technology have rapidly progressed in biomedical applications such as functional brain imaging. Furthermore, during the last decade, singular value decomposition has increasingly found many applications in the engineering field. Our goal is to develop a truly portable DOT system by utilizing system-on-chip design technique. In our DOT system, designing the SVD processor using VLSI technique is very efficient for solving the inverse problem in the DOT algorithm. In this paper, we focus on the hardware architecture design of the Jacobi singular value decomposition (JSVD) for applications in continuous wave diffusion optical tomography (CW-DOT) systems. The design is implemented using 90nm CMOS process technology and simulation results verify the functionality of the JSVD design within the developed CW-DOT system.

    Original languageEnglish
    Title of host publicationProceedings of the 2011 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2011
    Pages100-103
    Number of pages4
    DOIs
    StatePublished - 23 May 2011
    Event2011 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2011 - Bethesda, MD, United States
    Duration: 7 Apr 20118 Apr 2011

    Publication series

    NameProceedings of the 2011 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2011

    Conference

    Conference2011 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2011
    Country/TerritoryUnited States
    CityBethesda, MD
    Period7/04/118/04/11

    Keywords

    • CW-DOT system
    • Diffusion optical tomography
    • Jacobi singular value decomposition

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