BMVC IndexAnalysis and Computation of an Affine Trifocal TensorComputer Vision: TechniqueSteerable Filters from Erlang Functions

Non-Rigid Image Registration Using a Parameter-Free Elastic Model
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W. Peckar, C. Schnorr, K. Rohr, H. S. Stiehl

Universitaet Hamburg
FB Informatik
AB Kognitive Systeme
Vogt-Koelln-Str. 30
D-22527 Hamburg Germany

Contact: peckar@kogs.informatik.uni-hamburg.de

Abstract

The paper presents a new parameter-free approach to non-rigid image registration, where displacements, obtained through a mapping of boundary structures in the source and target image, are incorporated as hard constraints into elastic image deformation. As a consequence, our approach does not contain any parameters of the deformation model (elastic constants). The approach guarantees the exact correspondence of boundary structures after elastic transformation provided that correct input data are available. We describe a linear and an incremental model, the latter model allows to cope also with large deformations. Experimental results for 2-D and 3-D synthetic as well as real medical images are presented.

Keywords: Non-Rigid Medical Image Registration, Elasticity Theory, Finite Element Method
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BMVC IndexAnalysis and Computation of an Affine Trifocal TensorComputer Vision: TechniqueSteerable Filters from Erlang Functions

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