Fast no ground truth image registration accuracy evaluation: Comparison of bootstrap and Hessian approaches

  • Kybic J
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Abstract

Image registration algorithms provide a displacement field between
two images. We consider the problem of estimating accuracy of the
calculated displacement field from the input images only and without
assuming any specific model for the deformation. We compare two algorithms:
the first is based on bootstrap resampling, the second, new method,
uses an estimate of the criterion Hessian matrix. We also present
a block matching strategy using multiple window sizes where the final
result is obtained by fusion of partial results controlled by the
accuracy estimates for the blocks involved. Both accuracy estimation
methods and the new registration strategy are experimentally compared
on synthetic as well as real medical ultrasound data.

Author-supplied keywords

  • Accuracy estimation
  • Bootstrap
  • Image registration

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Authors

  • Jan Kybic

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