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This research aims to reduce the effect of noise on reconstructed image of CT. We give a method which adds noise model and image constraint to the CT iterative reconstruction algorithm. The image constraint we use is weighted Total Variation minimization method. The noise model depends on the types of noise. On one hand, the noise in the projection data before logarithmic transformation is approximated...
The importance of performing exact image reconstruction from the minimum amount of data has been recognized for a longtime. Yangbo Ye et al. has proved that the interior problem can be exactly and stably solved if a subregion in an ROI/VOI in the FOV is known from fan-beam/cone-beam projection datasets using the analytic continuation technique. But the analytic continuation is a very ill-posed question...
In order to accelerate imaging process and lower overall system cost, many practical CT systems use single slice detectors and big-pitch helical scanning, especially in next generation Baggage Scanning system. Geometry shape detection is a very important function in this kind of systems. In this paper, we present an online 3D-plane detection solution for this kind of systems. We improved traditional...
Recently, region-of-interest (ROI) reconstruction problem has been solved exactly for imaging configurations satisfying some geometrical conditions, especially the interior problem while the ROI is totally contained inside the object. The exact reconstruction of the interior problem has been also proved to be theoretically possible under few restrictions. One of these restrictions is the requirement...
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