• DocumentCode
    534574
  • Title

    Motion compensation based on dynamic data in PET acquisition

  • Author

    He, Jianfeng ; Keefe, Graeme J O ; Ackerly, Trevor ; Sun, Hua ; Geso, Moshi

  • Author_Institution
    Inst. for Biomed. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    389
  • Lastpage
    392
  • Abstract
    Respiratory motion artifacts can be a significant factor that limits the positron emission tomography (PET) image quality. Gating technique is one of methods utilizing the tracking information to compensate for subject motion. In this paper, we propose a new method that utilizes the geometric sensitivity of a 3D-PET scanner system to gate respiratory motion. This method is non-invasive and no additional hardware device required. Using GATE (GEANT4 Application Tomographic Emission) and NCAT (NURBs (Non Uniform Rational B-Splines) Cardiac Torso) software packages simulate PET acquisition and respiratory motion respectively. Proposed method applied to simulated data demonstrates that respiratory motion can be gated.
  • Keywords
    cardiology; data acquisition; medical computing; medical image processing; motion compensation; pneumodynamics; positron emission tomography; 3D-PET scanner system; GATE; GEANT4 Application Tomographic Emission; NCAT NURB; PET acquisition; PET image quality; cardiac torso; dynamic data; gate respiratory motion; gating technique; geometric sensitivity; motion compensation; non uniform rational B-splines; non-invasive method; positron emission tomography; respiratory motion artifacts; software packages; tracking information; Biomedical imaging; Image reconstruction; Logic gates; Lungs; Positron emission tomography; Sensitivity; PET; respiratory motion gating; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639539
  • Filename
    5639539