Recursive Bayesian estimation for respiratory motion correction in Nuclear Medicine imaging

Respiratory motion correction degrades quantitatively and qualitatively Nuclear Medicine images. We propose that adaptive approaches are required to correct for the irregular breathing patterns often encountered in the clinical setting, which can be addressed within a Bayesian tracking formulation....

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Bibliographische Detailangaben

Hauptverfasser:	Smith, Rhodri L, Rahni, Ashrani Abd, Jones, John, Wells, Kevin
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	adaptive Bayes methods Deformable models Hidden Markov models Kalman filters Mathematical models Particle filters recursive Bayesian estimation Respiratory motion correction Training
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