A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions

D. Peressutti, G.P. Penney, R.J. Housden, C. Kolbitsch, A. Gomez, E.J. Rijkhorst, D.C. Barratt, K.S. Rhode, A.P. King

    Research output: Contribution to journalArticleAcademicpeer-review

    Original languageUndefined/Unknown
    Pages (from-to)488-502
    JournalMedical Image Analysis
    Volume17
    Issue number4
    DOIs
    Publication statusPublished - 2013

    Cite this

    Peressutti, D., Penney, G. P., Housden, R. J., Kolbitsch, C., Gomez, A., Rijkhorst, E. J., ... King, A. P. (2013). A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions. Medical Image Analysis, 17(4), 488-502. https://doi.org/10.1016/j.media.2013.01.007