Industrial computed tomography (CT) can detect the internal structure of objects
nondestructively. Its scanning and image reconstruction are time-consuming, which limits its …

Sparse-view computed tomography (CT) is one of the primary means to reduce the radiation
risk. But the reconstruction of sparse-view CT will be contaminated by severe artifacts. By …

Sparse-view computed tomography (CT) holds great promise for speeding up data
acquisition and reducing radiation dose in CT scans. Recent advances in reconstruction …

The sparse view problem of image reconstruction encountered in computed tomography
(CT) is an important research issue due to its considerable potential in lowering radiation …

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 …

To reduce the artifacts and improve the image quality in sparse-view CT reconstruction. A
novel improved GoogLeNet is proposed to reduce artifacts of the sparse-view CT …

With the development of CT imaging, people have higher requirements for the quality of CT
image reconstruction. It is desirable to use as low as reasonably achievable X-ray dose …

To further reduce the noise and artifacts in the reconstructed image of sparse-view CT, we
have modified the traditional total variation (TV) methods, which only calculate the gradient …

In automated manufacturing and safety inspection, there is a high demand for fast computed
tomography (CT) scanning and image reconstruction. Currently, faster scanning can be …

Conventional dictionary-learning-based computed tomography (CT) reconstruction methods
extract patches from an original image to train, ignoring the consistency of pixels in …