A Statistical Approach to Motion Compernsated Cone Beam Reconstruction

Mark Lyksborg, Mads Fogtmann Hansen, Rasmus Larsen

AbstractOne 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.
KeywordsImage reconstruction, Image registration, Motion modelling, Cone-beam, Optimization
TypeConference paper [With referee]
ConferenceProceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2010
Year2010    Month May    pp. 804-807
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics