Abstract: One or more techniques are provided for adapting a reconstruction process to account for the motion of an imaged object or organ, such as the heart. In particular, projection data of the moving object or organ is acquired using a slowly rotating CT gantry. Motion data may be determined from the projection data or from images reconstructed from the projection data. The motion data may be used to reconstruct motion-corrected images from the projection data. The motion-corrected images may be associated to form motion-corrected volume renderings.

Abstract: A technique is provided for improving z-axis coverage and/or reducing cone beam artifacts during CT imaging. Multiple X-ray emission points are provided along the z-axis. Some or all of the emission points may be concurrently active. X-rays from concurrently active emission points are collimated so that X-rays from two or more emission points do not overlap on the detector. In addition, different groups of concurrently activated emission points may be sequentially or alternately activated, in conjunction with collimation, to prevent the overlap of X-rays from different emission points on the detector. In this manner, The X-rays may be timed and collimated such that the respective streams of radiation become adjacent at different locations, such as at the detector, the isocenter, or edge of the field of view.

Abstract: A method and computer-readable medium for reducing artifacts in image data generated by a computed tomography system is provided. The artifacts are due to the presence of a high density object in a subject of interest. The method comprises receiving measured sinogram data from the computed tomography system. The sinogram data is representative of sinogram elements. The measured sinogram data is reconstructed to generate initial reconstructed image data. Then corrected sinogram data is generated using the measured sinogram data. The corrected sinogram data is iteratively reconstructed to generate an improved reconstructed image data based on a weight measure derived from the measured sinogram data.

Abstract: A method for reducing artifacts in image data generated by a computed tomography system is provided. The artifacts are due to the presence of a high density object in a subject of interest. Initially, measured sinogram data is received from the computed tomography system. The sinogram data is representative of a plurality of sinogram elements. The measured sinogram data is reconstructed to generate initial reconstructed image data. A trace of the high density object is identified in the measured sinogram data. Then a region of interest is identified in the initial reconstructed image data. An optimization criterion is identified based upon the region of interest. The sinogram elements in the trace of the high density object in the measured sinogram data is iteratively adjusted based upon the optimization criterion to generate corrected sinogram data. The corrected sinogram data is reconstructed to generate improved reconstructed image data.