The use of X-ray computed tomography (CT), exploiting both synchrotron and laboratory
sources, has grown significantly over the last decade, driven primarily by improvements in …

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

Compressive sensing (CS) has proved effective for tomographic reconstruction from
sparsely collected data or under-sampled measurements, which are practically important for …

Score-based generative model (SGM) has risen to prominence in sparse-view CT
reconstruction due to its impressive generation capability. The consistency of data is crucial …

The wide applications of X-ray computed tomography (CT) bring low-dose CT (LDCT) into a
clinical prerequisite, but reducing the radiation exposure in CT often leads to significantly …

Limited-angle CT is a challenging problem in real applications. Incomplete projection data
will lead to severe artifacts and distortions in reconstruction images. To tackle this problem …

Sparse-view CT reconstruction algorithms via total variation (TV) optimize the data iteratively
on the basis of a noise-and artifact-reducing model, resulting in significant radiation dose …

Improving CT images by increasing the number of scans, hence increasing the ionizing
radiation dose, can increase the probability of inducing cancer in the patient. Using fewer …

Low-Dose Computed Tomography (LDCT) technique, which reduces the radiation harm to
human bodies, is now attracting increasing interest in the medical imaging field. As the …

The score-based generative model (SGM) has received significant attention in the field of
medical imaging, particularly in the context of limited-angle computed tomography (LACT) …