The past decade has seen the rapid growth of model based image reconstruction (MBIR)
algorithms, which are often applications or adaptations of convex optimization algorithms …

Background A tomographic patient model is essential for radiation dose modulation in x‐ray
computed tomography (CT). Currently, two‐view scout images (also known as topograms) …

Computed tomography is a powerful tool for medical examination, which plays a particularly
important role in the investigation of acute diseases, such as COVID-19. A growing concern …

We present a computational method for the 3D volume reconstruction from cross-sectional
data. The proposed method is based on the Allen–Cahn (AC) equation with a source term …

High-pitch X-ray helical computed tomography (HCT) imaging has been recently drawing
considerable attention in biomedical fields due to its ability to reduce the scanning time and …

In this paper, we propose an end-to-end dual-domain deep network for the high pitch helical
CT reconstruction. Our network is composed of a sinogram domain subnetwork and a CT …

The X-ray attenuation coefficients generally decrease as the X-ray energy increases, which
leads to beam-hardening artifacts in computed tomography (CT). Due to the difference of …

We propose a hyperparameter learning framework that learns patient-specific
hyperparameters for optimization-based image reconstruction problems for x-ray CT …

Visualization of low-density tissue scaffolds made from hydrogels is important yet
challenging in tissue engineering and regenerative medicine (TERM). For this, synchrotron …

Since X-ray imaging technology is applied for the inspection of baggage and cargo, CT
imaging has played an increasingly important role in the filed of security inspection. The …