CT image reconstruction from incomplete data, such as sparse views and limited angle
reconstruction, is an important and challenging problem in medical imaging. This work …

Purpose: Propagation‐based phase‐contrast CT (PPCT) utilizes highly sensitive phase‐
contrast technology applied to x‐ray microtomography. Performing phase retrieval on the …

Differential phase-contrast interior tomography allows reconstruction of a refractive index
distribution over a region of interest (ROI) for visualization and analysis of structures inside a …

Low-dose x-ray computed tomography (LDCT) is desirable for reduced patient dose. This
work develops new image reconstruction methods with deep learning (DL) regularization for …

Sparse-view CT is a promising approach for reducing the x-ray radiation dose in clinical CT
imaging. However, the CT images reconstructed from the conventional filtered …

Background and objective: Neural network based image reconstruction methods are
becoming increasingly popular. However, limited training data and the lack of theoretical …

Purpose. Although deep learning (DL) technique has been successfully used for computed
tomography (CT) reconstruction, its implementation on cone-beam CT (CBCT) …

X-ray phase contrast imaging is gaining importance as an imaging tool. However, it is
common for X-ray phase detection techniques to be sensitive to the derivatives of the phase …

X-ray breast computed tomography (breast-CT) is a new emerging technique for breast
imaging however its application is still limited because of low spatial resolution and high …

Abstract By adding a Talbot–Lau interferometer to a conventional x-ray absorption computed
tomography (CT) imaging system, both differential phase contrast (DPC) signal and …