• DocumentCode
    3606812
  • Title

    Simultaneous 99mtc/111in spect reconstruction using accelerated convolution-based forced detection monte carlo

  • Author

    Karamat, Muhammad I. ; Farncombe, Troy H.

  • Author_Institution
    Dept. of Med. Phys. & Appl. Radiat. Sci., McMaster Univ., Hamilton, ON, Canada
  • Volume
    62
  • Issue
    5
  • fYear
    2015
  • Firstpage
    2085
  • Lastpage
    2095
  • Abstract
    Simultaneous multi-isotope Single Photon Emission Computed Tomography (SPECT) imaging has a number of applications in cardiac, brain, and cancer imaging. The major concern however, is the significant crosstalk contamination due to photon scatter between the different isotopes. The current study focuses on a method of crosstalk compensation between two isotopes in simultaneous dual isotope SPECT acquisition applied to cancer imaging using 99mTc and 111In. We have developed an iterative image reconstruction technique that simulates the photon down-scatter from one isotope into the acquisition window of a second isotope. Our approach uses an accelerated Monte Carlo (MC) technique for the forward projection step in an iterative reconstruction algorithm. The MC estimated scatter contamination of a radionuclide contained in a given projection view is then used to compensate for the photon contamination in the acquisition window of other nuclide. We use a modified ordered subset-expectation maximization (OS-EM) algorithm named simultaneous ordered subset-expectation maximization (Sim-OSEM), to perform this step. We have undertaken a number of simulation tests and phantom studies to verify this approach. The proposed reconstruction technique was also evaluated by reconstruction of experimentally acquired phantom data. Reconstruction using Sim-OSEM showed very promising results in terms of contrast recovery and uniformity of object background compared to alternative reconstruction methods implementing alternative scatter correction schemes (i.e., triple energy window or separately acquired projection data). In this study the evaluation is based on the quality of reconstructed images and activity estimated using Sim-OSEM. In order to quantitate the possible improvement in spatial resolution and signal to noise ratio (SNR) observed in this study, further simulation and experimental studies are required.
  • Keywords
    Monte Carlo methods; brain; cancer; crosstalk; image reconstruction; medical image processing; single photon emission computed tomography; SPECT reconstruction; accelerated convolution based forced detection Monte Carlo; brain imaging; cancer imaging; cardiac imaging; crosstalk compensation; crosstalk contamination; forward projection step; image reconstruction; multiisotope Single Photon Emission Computed Tomography; scatter correction schemes; simultaneous ordered subset-expectation maximization Sim-OSEM; Crosstalk; Image reconstruction; Isotopes; Monte Carlo methods; Photonics; Single photon emission computed tomography; Image reconstruction; Monte Carlo (MC) methods; Single Photon Emission Computed Tomography (SPECT); modeling;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2015.2465938
  • Filename
    7274490