@CONFERENCE\{IMM2010-05898,
    author       = "M. Lyksborg and M. F. Hansen and R. Larsen",
    title        = "A Statistical Approach to Motion Compernsated Cone Beam Reconstruction",
    year         = "2010",
    month        = "may",
    keywords     = "Image reconstruction, Image registration, Motion modelling, Cone-beam, Optimization",
    pages        = "804-807",
    booktitle    = "Proceedings of {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro 2010",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5898-full.html",
    abstract     = "One of the problems arising in radiotherapy planning is the
quality of {CT} planning data. In the following attention is giving
to the cone-beam scanning geometry where reconstruction
of a {3D} volume based on {2D} projections, using the classic
Feldkamp-Davis-Kress (FDK) algorithm requires a large
number of projections to be adequate. Since the patients are
breathing freely during a scan, the number of projections with
similar respiration may be to low. In the following we use an
iterative reconstruction combined with the simultaneous estimation
of the motion field, to improve reconstruction in these
situations. Using a simulated dataset we demonstrate that this
combination outperforms the {FDK} but due to ill possessedness
of the motion estimation it is only on par with the sole
iterative method."
}