• DocumentCode
    1253455
  • Title

    Limitations of the principal-axes theory

  • Author

    Schormann, Thorsten ; Zilles, Karl

  • Author_Institution
    Inst. of Brain Res., Dusseldorf Univ., Germany
  • Volume
    16
  • Issue
    6
  • fYear
    1997
  • Firstpage
    942
  • Lastpage
    947
  • Abstract
    The classical principal-axes transformation (PAT) has been used in numerous publications for three-dimensional (3-D) reconstructions by sequential alignment of histological sections. However, the PAT can determine at most 1/2n(n+1) parameters (scaling-rotation) in n dimensions. Distortions (shearing) of histological sections can be described by an affine transformation with n 2 parameters. An analytical model is devised for calculating rotational and scaling errors which can be determined by relating the transformation parameters of the PAT to the exact solution of a singular value decomposition (SVD) of the perturbation matrix. The results show that form and deformation of the form are intertwined and that these results can be transferred to real data. The model is important for assessing the quality that can be expected with the PAT for 3-D reconstructions if no multimodulity reference is available (rigid transformation) and reveals the misalignment in terms of rotational and scaling errors resulting from the PAT as derived in a previously published paper (R. Bajcsy and S. Kovacic, Comput. Vision Graph Image Processing, vol. 46, p. 1-21, 1989).
  • Keywords
    image reconstruction; image registration; medical image processing; modelling; singular value decomposition; affine transformation; analytical model; distortions; histological sections; medical diagnostic imaging; principal-axes theory limitations; rotational errors; scaling errors; sequential alignment; three-dimensional reconstructions; Analytical models; Computed tomography; Magnetic resonance imaging; Matrix decomposition; Positron emission tomography; Shape; Shearing; Singular value decomposition; Three dimensional displays; Two dimensional displays; Diagnostic Imaging; Histological Techniques; Image Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.650891
  • Filename
    650891