Fast Deformable Image Registration with Non-smooth Dual Optimization

@article{Rajchl2016FastDI,
  title={Fast Deformable Image Registration with Non-smooth Dual Optimization},
  author={Martin Rajchl and John S. H. Baxter and Wu Qiu and Ali R. Khan and Aaron Fenster and Terry M. Peters and Daniel Rueckert and Jing Yuan},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2016},
  pages={465-472}
}
Optimization techniques have been widely used in deformable registration, allowing for the incorporation of similarity metrics with regularization mechanisms. These regularization mechanisms are designed to mitigate the effects of trivial solutions to ill-posed registration problems and to otherwise ensure the resulting deformation fields are well-behaved. This paper introduces a novel deformable registration (DR) algorithm, RANCOR, which uses iterative convexification to address DR problems… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 27 REFERENCES

Three-Dimensional Nonrigid MR-TRUS Registration Using Dual Optimization

  • IEEE Transactions on Medical Imaging
  • 2015
VIEW 9 EXCERPTS

Fast interactive multi-region cardiac segmentation with linearly ordered labels

  • 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
  • 2012
VIEW 1 EXCERPT