Paper
3 March 2012 Breathing motion compensated reconstruction for C-arm cone beam CT imaging: initial experience based on animal data
D. Schäfer, M. Lin, P. P. Rao, R. Loffroy, E. Liapi, N. Noordhoek, P. Eshuis, A. Radaelli, M. Grass, J.-F. H. Geschwind
Author Affiliations +
Abstract
C-arm based tomographic 3D imaging is applied in an increasing number of minimal invasive procedures. Due to the limited acquisition speed for a complete projection data set required for tomographic reconstruction, breathing motion is a potential source of artifacts. This is the case for patients who cannot comply breathing commands (e.g. due to anesthesia). Intra-scan motion estimation and compensation is required. Here, a scheme for projection based local breathing motion estimation is combined with an anatomy adapted interpolation strategy and subsequent motion compensated filtered back projection. The breathing motion vector is measured as a displacement vector on the projections of a tomographic short scan acquisition using the diaphragm as a landmark. Scaling of the displacement to the acquisition iso-center and anatomy adapted volumetric motion vector field interpolation delivers a 3D motion vector per voxel. Motion compensated filtered back projection incorporates this motion vector field in the image reconstruction process. This approach is applied in animal experiments on a flat panel C-arm system delivering improved image quality (lower artifact levels, improved tumor delineation) in 3D liver tumor imaging.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Schäfer, M. Lin, P. P. Rao, R. Loffroy, E. Liapi, N. Noordhoek, P. Eshuis, A. Radaelli, M. Grass, and J.-F. H. Geschwind "Breathing motion compensated reconstruction for C-arm cone beam CT imaging: initial experience based on animal data", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83131D (3 March 2012); https://doi.org/10.1117/12.909914
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Cited by 5 scholarly publications.
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KEYWORDS
Image segmentation

Image quality

Image filtering

Imaging systems

Motion estimation

Tumors

3D image processing

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