Paper
19 March 2014 Automatic cable artifact removal for cardiac C-arm CT imaging
C. Haase, D. Schäfer, M. Kim, S. J. Chen, J. Carroll M.D., P. Eshuis, O. Dössel, M. Grass
Author Affiliations +
Abstract
Cardiac C-arm computed tomography (CT) imaging using interventional C-arm systems can be applied in various areas of interventional cardiology ranging from structural heart disease and electrophysiology interventions to valve procedures in hybrid operating rooms. In contrast to conventional CT systems, the reconstruction field of view (FOV) of C-arm systems is limited to a region of interest in cone-beam (along the patient axis) and fan-beam (in the transaxial plane) direction. Hence, highly X-ray opaque objects (e.g. cables from the interventional setup) outside the reconstruction field of view, yield streak artifacts in the reconstruction volume. To decrease the impact of these streaks a cable tracking approach on the 2D projection sequences with subsequent interpolation is applied. The proposed approach uses the fact that the projected position of objects outside the reconstruction volume depends strongly on the projection perspective. By tracking candidate points over multiple projections only objects outside the reconstruction volume are segmented in the projections. The method is quantitatively evaluated based on 30 simulated CT data sets. The 3D root mean square deviation to a reference image could be reduced for all cases by an average of 50 % (min 16 %, max 76 %). Image quality improvement is shown for clinical whole heart data sets acquired on an interventional C-arm system.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. Haase, D. Schäfer, M. Kim, S. J. Chen, J. Carroll M.D., P. Eshuis, O. Dössel, and M. Grass "Automatic cable artifact removal for cardiac C-arm CT imaging", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90330K (19 March 2014); https://doi.org/10.1117/12.2043488
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Cited by 2 scholarly publications.
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KEYWORDS
X-ray computed tomography

Reconstruction algorithms

Image segmentation

Image quality

Heart

Sensors

Metals

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