Fast Rigid 2D-2D Multimodal Registration

@inproceedings{Mller2004FastR2,
  title={Fast Rigid 2D-2D Multimodal Registration},
  author={Ulrich M{\"u}ller and J{\"u}rgen Hesser and Reinhard M{\"a}nner},
  booktitle={MICCAI},
  year={2004}
}
This paper solves the problem to assign optimal sample sizes to Viola’s stochastic matching [1] and determines the best stochastic gradient optimizer to this sort of problems. It can be used for applications like X-ray based minimal invasive interventions or the control of patient motion during radiation therapy. The preprocessing for optimally estimating the parameters lies between 0.5-4.5 seconds and is only necessary once for a typical set of images to be matched. Matching itself is… CONTINUE READING