• DocumentCode
    2833537
  • Title

    Direct reconstruction of parametric images from cardiac gated dynamic spect data

  • Author

    Niu, Xiaofeng ; Yang, Yongyi ; Wernick, Miles N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    453
  • Lastpage
    456
  • Abstract
    In this work, we propose a direct reconstruction approach to determine a sequence of kinetic parametric images from a single gated acquisition, of which the goal is to provide information simultaneously for both tracer kinetics and cardiac wall motion. The parameter images of the different gates are determined jointly using maximum a posteriori (MAP) estimation from all the available image data in order to exploit the similarity among the different gates. The proposed approach is demonstrated in the context of single photon emission computed tomography (SPECT), where the challenge is great due to the under-determined nature of the problem and increased imaging noise. Our results show that use of gated temporal smoothing could effectively improve the reconstruction accuracy of kinetic parameters.
  • Keywords
    cardiology; image reconstruction; maximum likelihood estimation; medical image processing; single photon emission computed tomography; MAP estimation; SPECT; cardiac gated dynamic spect data; cardiac wall motion; direct reconstruction; gated temporal smoothing; kinetic parametric image; maximum a posteriori estimation; single photon emission computed tomography; tracer kinetics; Image reconstruction; Kinetic theory; Logic gates; Positron emission tomography; Single photon emission computed tomography; Smoothing methods; 5D reconstruction; Dynamic SPECT; gated SPECT; kinetic modeling; spatio-temporal reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116548
  • Filename
    6116548