Iterative multi-scale registration without landmarks
Thevenaz, P.
Ruttimann, U.E.
Unser, M.
Nat. Inst. of Health, Bethesda, MD;
This paper appears in: Image Processing, 1995. Proceedings., International Conference on
Publication Date: 23-26 Oct 1995
Volume: 3,
On page(s): 228-231 vol.3
Meeting Date: 10/23/1995 - 10/26/1995
Location: Washington, DC, USA
ISBN: 0-8186-3122-2
References Cited: 22
INSPEC Accession Number: 5256028
Digital Object Identifier: 10.1109/ICIP.1995.537622
Current Version Published: 2002-08-06
Abstract
We present an automatic sub-pixel registration algorithm that
minimizes the mean square difference of intensities between a reference
and a test data set (volumes or images). It uses spline processing, is
based on a coarse-to-fine pyramid strategy, and performs minimization
according to a variation of the iterative Marquardt-Levenberg (1963)
scheme. The geometric deformation model is a general affine
transformation that one may optionally restrict to a rigid-body
(isometric scale, rotation and translation), procrustean (rotation and
translation) or translational case; it also includes an optional
parameter for the linear adaptation of intensity. We present several PET
and fMRI experiments and show that this algorithm provides excellent
results. We conclude that the multi-resolution refinement strategy is
faster and more robust than a comparable single-scale one
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
