• DocumentCode
    1519720
  • Title

    Distribution of Fiducial Registration Error in Rigid-Body Point-Based Registration

  • Author

    Moghari, Mehdi Hedjazi ; Abolmaesumi, Purang

  • Author_Institution
    Med. Sch., Harvard Univ., Boston, MA, USA
  • Volume
    28
  • Issue
    11
  • fYear
    2009
  • Firstpage
    1791
  • Lastpage
    1801
  • Abstract
    Rigid-body point-based registration is frequently used in computer assisted surgery to align corresponding points, or fiducials, in preoperative and intraoperative data. This alignment is mostly achieved by assuming the same homogeneous error distribution for all the points; however, due to the properties of the medical instruments used in measuring the point coordinates, the error distribution might be inhomogeneous and different for each point. In this paper, in an effort to understand the effect of error distribution in the localized points on the performed registration, we derive a closed-form solution relating the error distribution of each point with the performed registration accuracy. The solution uses maximum likelihood estimation to calculate the probability density function of registration error at each fiducial point. Extensive numerical simulations are performed to validated the proposed solution.
  • Keywords
    Gaussian distribution; error analysis; image registration; maximum likelihood estimation; medical image processing; fiducial registration error distribution; isotropic zero-mean Gaussian distribution; maximum likelihood estimation; numerical simulations; probability density function; rigid-body point-based registration; Anatomy; Anisotropic magnetoresistance; Biomedical imaging; Closed-form solution; Computer errors; Coordinate measuring machines; Gaussian distribution; Instruments; Maximum likelihood estimation; Surgery; Fiducial localization error; fiducial registration error; inhomogeneous and anisotropic zero-mean noise; maximum likelihood; registration; target registration error; Algorithms; Anisotropy; Computer Simulation; Image Processing, Computer-Assisted; Models, Theoretical; Normal Distribution; Reproducibility of Results;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2009.2024208
  • Filename
    5297447