Summary
Objectives:
In this paper, we propose a novel registration technique, which combines the concepts
of landmark and automatic, non-rigid intensity-based approaches. A general framework,
which might be used for many different registration problems is presented. The novel
approach enables the incorporation of different distance measures as well as different
smoothers.
Methods:
The proposed scheme minimizes a regular-ized distance measure subject to some interpolation
constraints. The desired deformation is computed iteratively using an Euler-scheme
for the first variation of the chosen objective functional.
Results:
A fast and robust numerical scheme for the computation of the wanted minimizer is
developed, implemented, and applied to various registration tasks. This includes the
registration of pre- and post-intervention images of the human eye.
Conclusions:
A novel framework for a parameter-free, non-rigid registration scheme which allows
for the additional incorporation of user-defined landmarks is proposed. It enhances
the reliability of conventional approaches considerably and thereby their acceptability
by practitioners in a clinical environment.
Keywords
Image processing - numerical analysis - image registration - elastic matching - landmark
registration
