• DocumentCode
    3403029
  • Title

    A new data acquisition design for breast cancer detection system

  • Author

    Dung Nguyen ; Kui Ren ; Roveda, Janet

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Arizona at Tucson, Tucson, AZ, USA
  • fYear
    2013
  • fDate
    4-6 Sept. 2013
  • Firstpage
    61
  • Lastpage
    66
  • Abstract
    Modern mammography screening for breast cancer detection adopted computed tomography techniques and multi-dimensional (i.e. 3D or 4D) Tomosynthesis to improve cancer detection rate. These new trends demand novel SoC designs that can accommodate the increasing volume of raw data from multi-dimensional (i.e. 3D or 4D) Tomosynthesis with comparable X-ray dose. The current paper introduces two core technologies: Adaptive Digital Estimator (ADE) and Self-detecting sensory array based on Compressive Sensing (CS) concept and inter-reset sampling techniques. First of its kind, the new designs can simultaneously achieve high speed data acquisition and reduce data amount by an average of 40%.
  • Keywords
    cancer; compressed sensing; computerised tomography; data acquisition; image sampling; mammography; medical image processing; system-on-chip; ADE; Adaptive Digital Estimator; Compressive Sensing; Self-detecting sensory array; SoC designs; breast cancer detection system; cancer detection rate; comparable X-ray dose; computed tomography techniques; core technologies; data acquisition design; data amount reduction; high speed data acquisition; inter-reset sampling techniques; mammography screening; multidimensional tomosynthesis; raw data; Abstracts; Breast; Cancer; Chaos; Generators; Magnetic resonance imaging; Medical diagnostic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SOC Conference (SOCC), 2013 IEEE 26th International
  • Conference_Location
    Erlangen
  • ISSN
    2164-1676
  • Type

    conf

  • DOI
    10.1109/SOCC.2013.6749661
  • Filename
    6749661