Statistical Iterative CBCT Reconstruction Based on Neural Network.
IEEE Transactions on Medical Imaging（2018）
Abstract
Cone-beam computed tomography (CBCT) plays an important role in radiation therapy. Statistical iterative reconstruction (SIR) algorithms with specially designed penalty terms provide good performance for low-dose CBCT imaging. Among others, the total variation (TV) penalty is the current state-of-the-art in removing noises and preserving edges, but one of its well-known limitations is its staircas...
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Key words
Image reconstruction,Computed tomography,TV,Neural networks,Iterative methods,Kernel,Spatial resolution
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