• DocumentCode
    1571366
  • Title

    Application of Information Theory to the Assessment of Data Integrity for Coded Aperture Imaging

  • Author

    Peng, Xu ; Tianyu, Ma ; Yongjie, Jin

  • Author_Institution
    Dept. of Eng. Phys., Tsinghua Univ., Beijing
  • fYear
    2006
  • Firstpage
    3978
  • Lastpage
    3981
  • Abstract
    The SPECT imaging process has two fundamental stages: detection and display. The detection stage can be rigorously quantitatively described by Shannon´s information theory. Information is transferred from the source to the detector in the photon emitting process. In the detection stage, integrity of projection data can be assessed by the information entropy, which is the conditional entropy standing for the average uncertainty of the source object under the condition of projection data. Simulations were performed to study projection data of emission computed tomography with a coded aperture collimator. Several types of coded aperture collimators were treated. Results demonstrate that the conditional entropy shows the data integrity, and indicate how the algorithms are matched or mismatched to the geometry. A new method for assessing data integrity is devised for those decision makers
  • Keywords
    collimators; data integrity; decision making; entropy; medical image processing; single photon emission computed tomography; SPECT imaging; Shannon information theory; coded aperture collimator; coded aperture imaging; data integrity; decision makers; emission computed tomography; information entropy; information theory; photon emitting process; Apertures; Collimators; Computational modeling; Detectors; Displays; Information entropy; Information theory; Object detection; Single photon emission computed tomography; Uncertainty; coded aperture; data integrity; entropy; information theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1615333
  • Filename
    1615333