• DocumentCode
    1589270
  • Title

    Automatic recognition of brain regions from magnetic resonance images

  • Author

    Sandor, Stephanie R. ; Leahy, Richard

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1992
  • Firstpage
    172
  • Abstract
    An application of active contour models to the problem of atlas to image matching for magnetic resonance (MR) brain images is demonstrated. A B-spline approximation to the original snake model of M. Kass et al. (1988) is used, along with a multigrid method to overcome some of the problems of the snake model. In the particular example shown, the multigrid method yields an accurate warping of the atlas curves onto the segmented image. Overall, the single-level snakes performed well; however, an instance in which the single-level algorithm could not correct a region mismatch is shown. The procedure can be extended to the 3-D problem by replacing the B-spline curve with a B-spline surface. The snake energy is also modified to reflect mechanical properties of the surface
  • Keywords
    biomedical NMR; brain models; medical image processing; B-spline approximation; active contour models; atlas curves warping; automatic brain regions recognition; magnetic resonance images; multigrid method; region mismatch correction; segmented image; single-level algorithm; snake model; surface mechanical properties; Active contours; Anatomy; Brain modeling; Computer vision; Cost function; Energy resolution; Image recognition; Magnetic resonance; Shape; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-3160-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.1992.269281
  • Filename
    269281