Bayesian motion estimation for temporally recursive noise reduction in X-ray fluoroscopy

@inproceedings{Aach1998BayesianME,
  title={Bayesian motion estimation for temporally recursive noise reduction in X-ray fluoroscopy},
  author={Til Aach and Dietmar Kunz},
  year={1998}
}
Abstract This paper develops a Bayesian motion estimation algorithm for motion-compensated temporally recursive filtering of moving low-dose X-ray images (X-ray fluoroscopy). These images often exhibit a very low signal-to-noise ratio. The described motion estimation algorithm is made robust against noise by spatial and temporal regularization. A priori expectations about the spatial and temporal smoothness of the motion vector field are expressed by a generalized Gauss-Markov random field. The… CONTINUE READING

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