Purpose Micron-scale computed tomography (micro-CT) imaging is a ubiquitous, cost-
effective, and non-invasive three-dimensional imaging modality. We review recent …

Computed tomography (CT) is a widely used imaging technique in both medical and
industrial applications. However, accurate CT reconstruction requires complete projection …

Decreasing projection views to a lower X-ray radiation dose usually leads to severe streak
artifacts. To improve image quality from sparse-view data, a multi-domain integrative Swin …

Sparse-view computed tomography (CT)---using a small number of projections for
tomographic reconstruction---enables much lower radiation dose to patients and …

To reduce the radiation dose, sparse-view computed tomography (CT) reconstruction has
been proposed, aiming to recover high-quality CT images from sparsely sampled sinogram …

Sparse-view computed tomography (CT) is one of the primal means to reduce radiation risk.
However, the reconstruction of sparse-view CT with the classic analytical method is usually …

Computed tomography (CT) is widely used in clinical medicine, and low-dose CT (LDCT)
has become popular to reduce potential patient harm during CT acquisition. However, LDCT …

Metal artifacts lead to CT imaging quality degradation. With the success of deep learning
(DL) in medical imaging, a number of DL-based supervised methods have been developed …

Incorporating prior information into inverse problems, eg via maximum-a-posteriori
estimation, is an important technique for facilitating robust inverse problem solutions. In this …

For solving linear inverse problems, particularly of the type that appears in tomographic
imaging and compressive sensing, this paper develops two new approaches. The first …