• DocumentCode
    3247281
  • Title

    Reconstruction of gated cardiac SPECT using DFT basis functions

  • Author

    Niu, Xiaofeng ; Jin, Mingwu ; Yang, Yongyi

  • Author_Institution
    Illinois Inst. of Technol., Chicago
  • fYear
    2007
  • fDate
    4-7 Nov. 2007
  • Firstpage
    756
  • Lastpage
    760
  • Abstract
    Gated cardiac single photon emission computed tomography (SPECT) is an important diagnostic tool for evaluating both myocardial perfusion and ventricular function. However, it often suffers from increased noise due to gating. In this paper we explore the use of Fourier harmonic basis functions to model the time activities across the different gates, aiming to exploit the periodicity of cardiac beating. The gated frames are reconstructed through estimation in the frequency domain along the gate dimension. We demonstrate this approach by simulating gated Tc-99m labeled sestamibi imaging based on the NURBS- based cardiac-torso (NCAT) phantom.
  • Keywords
    discrete Fourier transforms; medical image processing; patient diagnosis; single photon emission computed tomography; DFT basis functions; Fourier harmonic basis functions; NURBS-based cardiac-torso phantom; diagnostic tool; frequency domain estimation; gated cardiac SPECT reconstruction; gating; myocardial perfusion evaluation; sestamibi imaging; single photon emission computed tomography; ventricular function evaluation; Discrete Fourier transforms; Image reconstruction; Low-frequency noise; Motion estimation; Myocardium; Noise reduction; Optical imaging; Optical noise; Reconstruction algorithms; Single photon emission computed tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2109-1
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2007.4487317
  • Filename
    4487317