• DocumentCode
    2805904
  • Title

    Improving the reliability of shape comparison by perturbation

  • Author

    Jiang, Y. ; Edmiston, E. ; Wang, F. ; Blumberg, H.P. ; Papademetris, X. ; Staib, L.H.

  • Author_Institution
    Dept. of Diagnostic Radiol., Yale Univ., New Haven, CT, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    686
  • Lastpage
    689
  • Abstract
    Shape comparison is a key scenario in morphometric study, where registration is often involved and found to be unreliable: different registrations can lead to different shape differences. This paper proposes a generic scheme applicable to most registration methods, to reduce this unreliability. It perturbs the registration processes by feeding them with resampled shape groups, and then aggregates the results to yield the final result. This scheme can be simplified for pair-wise registration methods to reduce the computation. Experiments are conducted on both synthetic and biomedical shapes using different registration methods, which demonstrate its effectiveness.
  • Keywords
    image registration; medical image processing; perturbation theory; aggregates; biomedical shapes; morphometric study; pair-wise registration methods; perturbation; reliability; shape comparison; Aggregates; Bioinformatics; Biomedical computing; Biomedical engineering; Jacobian matrices; Machine learning; Psychology; Reliability engineering; Shape measurement; Testing; Shape registration; morphometric study; shape comparison; significance testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193140
  • Filename
    5193140