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Low-dose X-ray computed tomography (CT) imaging is desirable for various clinical applications due to the growing concerns about excessive radiation exposure to the patients. One strategy to achieve low-dose CT imaging is to lower the number of projection views per rotation during data acquisition. However, the resulting image by the conventional filtered back-projection method may suffer from view-aliasing...
Previous studies have shown that by minimizing the total variation (TV) of the to-be-estimated image with some data and/or other constraints, a piecewise-smooth X-ray computed tomography image can be reconstructed from sparse-view projection data. However, due to the piecewise constant assumption for the TV model, the reconstructed images are frequently reported to suffer from the blocky or patchy...
In single photon emission computed tomography (SPECT), the Poisson noise in sinogram data is one of the major degrading factors that jeopardize the quality of reconstructed images. The common strategy to reduce noise in SPECT images is to apply low-pass pre- or post-processing filters, which suppress the noise by attenuating the high frequency components that can contain valuable edge/detail information...
Single photon emission computed tomography (SPECT) could achieve the functional image of the organ of interest, so the diseases can be found much earlier. Cone-beam SPECT reconstruction can improve the photo density and spatial resolution of the reconstructed image. A simple method for cone beam reconstruction is to rebin the cone-beam projection data into 2D sinograms and use 2D reconstruction method...
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