• DocumentCode
    1390546
  • Title

    Automatic registration of postmortem brain slices to MRI reference volume

  • Author

    Kim, T.-S. ; Singh, M. ; Sungkara, W. ; Zarow, C. ; Chui, H.

  • Author_Institution
    Dept. of Radiol. & Biomed. Eng., Univ. of Southern California, CA, USA
  • Volume
    47
  • Issue
    4
  • fYear
    2000
  • fDate
    8/1/2000 12:00:00 AM
  • Firstpage
    1607
  • Lastpage
    1613
  • Abstract
    A new strategy to register each slice of the postmortem brain to anatomically corresponding in-vivo MRI slices is presented. The approach relies on a recursive reslicing of the FVIRI volume using non-linear polynomial transformations. Simulation studies to validate the approach and results using real data are presented. The results suggest the feasibility and practicability of second- and third-order polynomials to register postmortem images on a slice-by-slice basis to corresponding MRI sections. Using this method, it is possible to investigate the pathology of a disease through routinely acquired MRIs and postmortem brain images
  • Keywords
    biomedical MRI; brain; image registration; medical image processing; polynomials; MRI reference volume; anatomically corresponding in-vivo MRI slices; automatic registration; disease pathology investigation; magnetic resonance imaging; medical diagnostic imaging; nonlinear polynomial transformations; postmortem brain slices; second-order polynomials; simulation studies; slice-by-slice basis; third-order polynomials; Alzheimer´s disease; Biomedical engineering; Brain; Image reconstruction; Image registration; Magnetic resonance imaging; Nonlinear distortion; Pathology; Polynomials; Radiology;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.873023
  • Filename
    873023