• DocumentCode
    1508523
  • Title

    Addendum: B-spline interpolation in medical image processing

  • Author

    Lehmann, Thomas M. ; Gönner, Claudia ; Spitzer, Klaus

  • Author_Institution
    Inst. of Med. Inf., Aachen Univ. of Technol., Germany
  • Volume
    20
  • Issue
    7
  • fYear
    2001
  • fDate
    7/1/2001 12:00:00 AM
  • Firstpage
    660
  • Lastpage
    665
  • Abstract
    Analyzes B-spline interpolation techniques of degree 2, 4, and 5 with respect to all criteria that have been applied to evaluate various interpolation schemes in a recently published survey on image interpolation in medical imaging (Lehmann et al., 1999). It is shown that high-degree B-spline interpolation has superior Fourier properties, smallest interpolation error, and reasonable computing times. Therefore, high-degree B-splines are preferable interpolators for numerous applications in medical image processing, particularly if high precision is required. If no aliasing occurs, this result neither depends on the geometric transform applied for the tests nor the actual content of images.
  • Keywords
    interpolation; medical image processing; splines (mathematics); B-spline interpolation; Fourier properties; aliasing; geometric transform; high-degree B-splines; interpolation error; medical diagnostic imaging; reasonable computing times; Biomedical image processing; Biomedical imaging; Biomedical informatics; Digital filters; Fourier transforms; Image analysis; Interpolation; Kernel; Polynomials; Spline; Diagnostic Imaging; Fourier Analysis; Image Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.932749
  • Filename
    932749