Accurate inversion of 3-D transformation fields

被引:4
|
作者
Noblet, Vincent [1 ,2 ]
Heinrich, Christian [1 ,2 ]
Heitz, Fabrice [1 ,2 ]
Armspach, Jean-Paul [3 ]
机构
[1] Univ Strasbourg, Strasbourg, France
[2] LSIIT, ULP, CNRS, UMR 7005,Lab Sci Image Informat & Teledetect, Illkirch Graffenstaden, France
[3] LINC IPB, UMR 7191, Lab Imagerie & Neurosci Cognit, F-67085 Strasbourg, France
关键词
image warping; interval analysis; resolution of systems of nonlinear equations; transformation field inversion;
D O I
10.1109/TIP.2008.2002310
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 [12]. Topology preservation ensures that the transformation is a one-to-one mapping and consequently that it is invertible. Inverting such transformation fields amount 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 point, 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.
引用
收藏
页码:1963 / 1968
页数:6
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