• DocumentCode
    2520940
  • Title

    ADAPTIVE REGULARIZATION USING B-SPLINES FOR GATED DYNAMIC CARDIAC SPECT

  • Author

    Yang, Yongyi ; Jin, Mingwu

  • Author_Institution
    Dept. Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    544
  • Lastpage
    547
  • Abstract
    Recently we proposed a joint reconstruction approach for dynamic cardiac images from a gated acquisition in single photon emission computed tomography (SPECT), where the time evolution at each image pixel is regulated by a B-spline function. Such an approach was demonstrated to be very effective for coping with the greatly underdetermined nature of the problem. In this work we further develop this approach by investigating the use of an adaptive smoothing prior on the spline control points based on their contribution to the acquired data counts. The proposed approach is evaluated using a dynamic version of the 4D gated mathematical cardiac-torso (gMCAT) phantom to simulate a gated SPECT perfusion acquisition with Tc99m Teboroxime. Our results demonstrate that the use of the newly introduced prior can improve the accuracy of the reconstruction
  • Keywords
    cardiology; image reconstruction; image sequences; medical image processing; phantoms; radioactive tracers; single photon emission computed tomography; splines (mathematics); technetium; B-splines; SPECT perfusion; Tc99m teboroxime; adaptive regularization; adaptive smoothing; dynamic cardiac SPECT; dynamic cardiac images; gated acquisition; gated cardiac-torso phantom; image reconstruction; image sequence; joint reconstruction approach; mathematical cardiac-torso phantom; single photon emission computed tomography; spline control points; Adaptive control; Image reconstruction; Imaging phantoms; Myocardium; Optical computing; Pixel; Programmable control; Single photon emission computed tomography; Smoothing methods; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356909
  • Filename
    4193343