Geometry-Aware Multiscale Image Registration via OBBTree-Based Polyaffine Log-Demons

  • Christof Seiler
  • Xavier Pennec
  • Mauricio Reyes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6892)


Non-linear image registration is an important tool in many areas of image analysis. For instance, in morphometric studies of a population of brains, free-form deformations between images are analyzed to describe the structural anatomical variability. Such a simple deformation model is justified by the absence of an easy expressible prior about the shape changes. Applying the same algorithms used in brain imaging to orthopedic images might not be optimal due to the difference in the underlying prior on the inter-subject deformations. In particular, using an un-informed deformation prior often leads to local minima far from the expected solution. To improve robustness and promote anatomically meaningful deformations, we propose a locally affine and geometry-aware registration algorithm that automatically adapts to the data. We build upon the log-domain demons algorithm and introduce a new type of OBBTree-based regularization in the registration with a natural multiscale structure. The regularization model is composed of a hierarchy of locally affine transformations via their logarithms. Experiments on mandibles show improved accuracy and robustness when used to initialize the demons, and even similar performance by direct comparison to the demons, with a significantly lower degree of freedom. This closes the gap between polyaffine and non-rigid registration and opens new ways to statistically analyze the registration results.


Mean Square Error Coronoid Process Hierarchical Scheme Plate Design Harmonic Energy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Christof Seiler
    • 1
    • 2
  • Xavier Pennec
    • 2
  • Mauricio Reyes
    • 1
  1. 1.Institute for Surgical Technology and BiomechanicsUniversity of BernSwitzerland
  2. 2.Asclepios Research Group, INRIA Sophia AntipolisFrance

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