• DocumentCode
    765824
  • Title

    Evaluation of statistical methods of image reconstruction through ROC analysis [emission tomography]

  • Author

    Gooley, T.A. ; Barrett, H.H.

  • Author_Institution
    Dept. of Radiol., Arizona Univ., Tucson, AZ, USA
  • Volume
    11
  • Issue
    2
  • fYear
    1992
  • fDate
    6/1/1992 12:00:00 AM
  • Firstpage
    276
  • Lastpage
    283
  • Abstract
    Several statistical methods of image reconstruction are described and objectively compared through the use of receiver-operating-characteristic (ROC) analysis based on a specified detection task performed by a human observer. The simulated imaging system is a multiple-pinhole coded-aperture system for dynamic cardiac imaging, and the objects represent cross sections of the left ventricle at end systole. The task is detection of a profusion representing an akinetic wall segment. Thirteen different reconstruction algorithms are considered. Human observers perform the specified task on this set of reconstructions, and the results are analyzed through the use of ROC analysis. The results show that the methods that utilize the largest amount of (accurate) prior information tend to perform the best
  • Keywords
    cardiology; computerised tomography; radioisotope scanning and imaging; akinetic wall segment; detection task; dynamic cardiac imaging; emission tomography; end systole; image reconstruction; left ventricle cross sections; multiple-pinhole coded-aperture system; receiver-operating-characteristic analysis; reconstruction algorithms; statistical methods; Humans; Image analysis; Image reconstruction; Maximum likelihood detection; Maximum likelihood estimation; Performance analysis; Radiology; Reconstruction algorithms; Statistical analysis; Tomography;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.141652
  • Filename
    141652