This work aims to improve limited-angle (LA) cone-beam computed tomography (CBCT) by
developing deep learning (DL) methods for real clinical CBCT projection data, which is the …

In medical and industrial applications of computed tomography (CT) imaging, limited by the
scanning environment and the risk of excessive X-ray radiation exposure imposed to the …

Due to the restriction of the scanning environment and the energy of X-ray, few projections of
an object can be obtained in some practical applications of computed tomography (CT). In …

The l1‐norm regularization has attracted attention for image reconstruction in computed
tomography. The l0‐norm of the gradients of an image provides a measure of the sparsity of …

The limited-angle projection data of an object, in some practical applications of computed
tomography (CT), are obtained due to the restriction of scanning condition. In these …

Photon counting detector (PCD)-based spectral computed tomography (CT) is a promising
imaging technique that enables high energy resolution imaging with narrow energy bins …

The x-ray radiation dose in computed tomography (CT) examination has been a major
concern for patients. Lowing the tube current and exposure time in data acquisition is a …

Due to the restriction of computed tomography (CT) scanning environment, the acquired
projection data may be incomplete for exact CT reconstruction. Though some convex …

Due to limitations in radiation dose or scanning conditions, there are instances where
computed tomography (CT) data can only be collected within a restricted scanning angle …

Cone-beam computed tomography (CBCT) plays a critical role in both medical imaging and
industrial nondestructive testing with high efficiency and precision. However, scattering …