DocumentCode :
858273
Title :
Accurate Inversion of 3-D Transformation Fields
Author :
Noblet, Vincent ; Heinrich, Christian ; Heitz, Fabrice ; Armspach, Jean-Paul
Author_Institution :
Univ. Louis Pasteur, Strasbourg
Volume :
17
Issue :
10
fYear :
2008
Firstpage :
1963
Lastpage :
1968
Abstract :
This correspondence addresses the inversion of 3-D transformation fields, which is a problem that typically arises in image warping problems. A topology preserving parametric B-spline-based representation of the deformation field is considered. Topology preservation ensures that the transformation is a one-to-one mapping and consequently that it is invertible. Inverting such transformation fields amounts to solving a system of nonlinear equations. To tackle this problem, we rely on interval analysis techniques. The proposed algorithm yields a solution whose accuracy is user-controlled. This method may be extended to any dense transformation field and also to deformations defined on a grid of points, by considering a projection in the space of topology preserving B-spline-based deformation fields. The performance of the algorithm is illustrated on transformation fields coming from intersubject brain registration.
Keywords :
image registration; nonlinear equations; splines (mathematics); 3D transformation fields; B-spline-based representation; image warping problems; intersubject brain registration; interval analysis techniques; nonlinear equations; topology preservation; topology preserving B-spline-based deformation fields; Brain modeling; Interpolation; Nonlinear equations; Parameter estimation; Stress; Topology; Yield estimation; Image warping; interval analysis; resolution of systems of nonlinear equations; transformation field inversion; Algorithms; Brain; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2008.2002310
Filename :
4623244
Link To Document :
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