BACKGROUND: Spectral computed tomography (CT) has the capability to resolve the
energy levels of incident photons, which has the potential to distinguish different material …

Computed tomography (CT) imaging is a non-invasive diagnostic technique and is widely
used for severe diseases in the field of medical imaging. X-ray beam, γ-ray, ultrasonic and …

Compressive Sensing (CS) theory has great potential for reconstructing Computed
Tomography (CT) images from sparse‐views projection data and Total Variation‐(TV‐) …

With the fact of harmfulness, X-ray radiation dose reduction received more and more
attention in CT research field nowadays. As Compressed Sensing theory applied into …

For lack of directivity in Total Variation (TV) which only uses x-coordinate and y-coordinate
gradient transform as its sparse representation approach during the iteration process, this …

To solve the problem of CT image degradation, a double regularization CT image blind
restoration reconstruction method was proposed. The objective function including both a …

Inspired by total variation (TV), this paper represents a new iterative algorithm based on
diagonal total variation (DTV) to address the computed tomography image reconstruction …

Molecular imaging is capable of revealing cellular and molecular features of organism and
disease in vivo, meeting the increasing demands in the noninvasive understanding of …