• DocumentCode
    2997532
  • Title

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

  • Author

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

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2011
  • fDate
    7-8 April 2011
  • Firstpage
    100
  • Lastpage
    103
  • 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.
  • Keywords
    CMOS integrated circuits; VLSI; biomedical electronics; biomedical optical imaging; brain; inverse problems; medical image processing; neurophysiology; optical tomography; singular value decomposition; system-on-chip; CMOS process technology; Jacobi singular value decomposition; SVD processor; VLSI design; functional brain imaging; hardware architecture design; inverse problem; portable continuous-wave diffusion optical tomography system; singular value decomposition processor; system-on-chip design technique; Absorption; Biomedical optical imaging; Image reconstruction; Matrix decomposition; Optical imaging; Tomography; US Department of Transportation; CW-DOT system; Diffusion optical tomography; Jacobi singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Life Science Systems and Applications Workshop (LiSSA), 2011 IEEE/NIH
  • Conference_Location
    Bethesda, MD
  • Print_ISBN
    978-1-4577-0421-5
  • Type

    conf

  • DOI
    10.1109/LISSA.2011.5754166
  • Filename
    5754166