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The spatial resolution is one the key performance indicators of a CT system. However, in some cases, the scanned specimen is difficult to be penetrated by the x-ray of micro-focus in certain projection views due to its special shapes and the limited energy of the x-ray source, which will eventually lead to the degradation of the spatial resolution. A dual-focus CT system is adopted to address this...
Dual-energy Computed Tomography (DECT) is a useful tool that has been used widely in the security field and clinical diagnosis, because of its outstanding capability of material identification. One of the widely used pre-reconstruction methods for DECT is dual effect decomposition method. But the method only takes the compton scattering and photoelectric effect into consideration and ignores other...
In recent years, spectral CT with photon counting detectors (PCDs) has exhibited more advantages compared to conventional CT systems. Spectral CT has the potential to substantially advance CT imaging by reducing image noise and dose, improving contrast and target specificity, and enabling functional imaging with special molecular markers (e.g. Gold nanoparticles). The current PCDs, however, is difficult...
Dual-energy computed tomography (DECT) allows one to obtain both density and atomic number and thus can provide information about material composition of scanned objects. In this paper, we extend a basis material decomposition method for high energy X-ray DECT used in cargo inspection. It differs from conventional DECT reconstruction methods by pair-production effect coming into play in the reconstruction...
For high resolution CT image reconstruction, algebraic reconstruction methods are widely used to get relatively good image quality. However, the slow speed has prohibited its routine use in clinical and industrial applications. Many GPU-based accelerated algebraic reconstruction methods have been presented for three-dimensional (3D) reconstruction in cone beam CT. But for the high resolution two-dimensional...
When there are objects moving during CT acquisition process and each object has independently rigid motion which includes translation and rotation, the reconstruction will suffer from perceptible motion artifacts. To suppress such artifacts, one way is to implement motion estimation into reconstruction algorithms. In this paper, we give a new forward projection iterative method. With a priori knowledge...
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