• DocumentCode
    2845494
  • Title

    Choosing anatomical-prior strength for MAP SPECT reconstruction to maximize lesion detectability

  • Author

    Lehovich, Andre ; Gifford, Howard C. ; Schneider, Peter B. ; King, Michael A.

  • Author_Institution
    Univ. of Massachusetts Med. Sch., Worcester
  • Volume
    6
  • fYear
    2007
  • fDate
    Oct. 26 2007-Nov. 3 2007
  • Firstpage
    4222
  • Lastpage
    4225
  • Abstract
    With the widespread availability of SPECT/CT systems it has become feasible to incorporate prior knowledge about anatomical boundaries into the SPECT reconstruction process, thus improving observer performance on tasks of clinical interest. We determine the optimal anatomical-prior strength for lesion search by measuring area under the LROC curve using human observers. We conclude that prior strength should be chosen assuming that only organ boundaries are available, even if lesion boundaries will also be known some of the time. We also test whether or not the presence of anatomical priors affects the observer´s strategy, and conclude that mixing images with and without priors does not hurt reader performance when priors are not available. Finally, we examine whether using an anatomical prior in SPECT reconstruction helps observer performance when the observer already knows the possible lesion location, and conclude for this task anatomical priors do not provide the same improvement seen in search tasks.
  • Keywords
    biological organs; image reconstruction; maximum likelihood estimation; medical image processing; single photon emission computed tomography; LROC; MAP reconstruction; SPECT; anatomical prior strength; lesion detectability; maximum a posteriori; organ boundaries; Anatomy; Computational modeling; Computed tomography; Feedback; Humans; Image reconstruction; Iterative algorithms; Lesions; Predictive models; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-0922-8
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2007.4437049
  • Filename
    4437049