Motion compensation for cone-beam CT based on 4D motion field of sinogram tracked markers

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.

[1]  E Klotz,et al.  Three-dimensional reconstruction of high contrast objects using C-arm image intensifier projection data. , 1999, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[2]  Nicholas Ayache,et al.  3D tomographic reconstruction of coronary arteries using a precomputed 4D motion field. , 2004, Physics in medicine and biology.

[3]  Georg Rose,et al.  Image quality of flat-panel cone beam CT , 2003, SPIE Medical Imaging.

[4]  Weiguo Lu,et al.  Tomographic motion detection and correction directly in sinogram space. , 2002, Physics in medicine and biology.

[5]  Franz Kainberger,et al.  Quantification and Clinical Relevance of Head Motion During Computed Tomography , 2003, Investigative radiology.

[6]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .