We present a joint model based on deep learning that is designed to inpaint the missing-
wedge sinogram of electron tomography and reduce the residual artifacts in the …

In this paper, a single-computed tomography (CT) image super-resolution (SR)
reconstruction scheme is proposed. This SR reconstruction scheme is based on sparse …

Accurate images reconstructed from limited computed tomography (CT) data are desired
when reducing the X-ray radiation exposure imposed on patients. The total variation (TV) …

The ever-growing field of materials with applications in the biomedical field holds great
promise regarding the design and fabrication of devices with specific characteristics …

Cone-beam Computerized Tomography (CBCT) has the advantages of high ray utilization
and detection efficiency, short scan time, high spatial and isotropic resolution. However, the …

In practical computed tomography (CT) applications, projections with low signal-to-noise
ratio (SNR) are often encountered due to the reduction of radiation dose or device …

For limited-angle computed tomography (CT) image reconstruction, the classical total
variation (TV) based algorithms suffer from the limited-angle artifacts, because TV only used …

Simultaneous algebraic reconstruction technique (SART) is a well-known iterative method in
X-ray computed tomography, which provides better image quality than analytical methods …

In some fields of medical diagnosis or industrial nondestructive testing, it is difficult to obtain
complete computed tomography (CT) data due to the limitation of radiation dose or other …

Radiation is harmful to the human body, which is coupled with the fact that scanning
conditions pose a number of restrictions. As a result, the projection data of a scanned object …