Literature DB >> 9533595

Limitations of the principal-axes theory.

T Schormann, K Zilles.   

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 n2 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 multimodality 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.

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Year:  1997        PMID: 9533595     DOI: 10.1109/42.650891

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  4 in total

1.  Three-dimensional linear and nonlinear transformations: an integration of light microscopical and MRI data.

Authors:  T Schormann; K Zilles
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

2.  Automated analysis of fundamental features of brain structures.

Authors:  Jack L Lancaster; D Reese McKay; Matthew D Cykowski; Michael J Martinez; Xi Tan; Sunil Valaparla; Yi Zhang; Peter T Fox
Journal:  Neuroinformatics       Date:  2011-12

3.  Anatomical global spatial normalization.

Authors:  Jack L Lancaster; Matthew D Cykowski; David Reese McKay; Peter V Kochunov; Peter T Fox; William Rogers; Arthur W Toga; Karl Zilles; Katrin Amunts; John Mazziotta
Journal:  Neuroinformatics       Date:  2010-10

4.  A four-dimensional probabilistic atlas of the human brain.

Authors:  J Mazziotta; A Toga; A Evans; P Fox; J Lancaster; K Zilles; R Woods; T Paus; G Simpson; B Pike; C Holmes; L Collins; P Thompson; D MacDonald; M Iacoboni; T Schormann; K Amunts; N Palomero-Gallagher; S Geyer; L Parsons; K Narr; N Kabani; G Le Goualher; J Feidler; K Smith; D Boomsma; H Hulshoff Pol; T Cannon; R Kawashima; B Mazoyer
Journal:  J Am Med Inform Assoc       Date:  2001 Sep-Oct       Impact factor: 4.497

  4 in total

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