Abstract
The image quality in volume CT (VCT) imaging is significantly degraded if patient motion such as rigid-body or respiratory motion occurs during data acquisition. Especially for VCT on interventional C-arm systems, the rather long acquisition times in the order of 2–8 s increase the likelihood of patient motion during data acquisition. We present a new method for motion estimation and motion-compensated reconstruction. Small beads of 1–2 mm in diameter are attached to the surface of the object and tracked through the sinogram space. A 4D motion field is calculated and the position of every voxel is corrected during reconstruction. Experimental and simulation results for rigid body motion as well as simulation results for a breathing thorax model are presented.
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