The number of computed tomographic (CT) studies performed is increasing rapidly.
Because CT scans involve much higher doses of radiation than plain films, we are seeing a …

High-end CT systems allow acquisition of isotropic volumetric data sets that permit high
quality reformatted images and images with less than 1 mm slice thickness. These …

In this paper, we present a semi-supervised deep learning approach to accurately recover
high-resolution (HR) CT images from low-resolution (LR) counterparts. Specifically, with the …

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

Magnetic resonance (MR) image-guided radiation therapy is a hot topic in current radiation
therapy research, which relies on MR to generate synthetic computed tomography (SCT) …

Synthesizing a CT image from an available MR image has recently emerged as a key goal
in radiotherapy treatment planning for cancer patients. CycleGANs have achieved promising …

Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in
clinical applications. Iterative reconstruction algorithms are one of the most promising way to …

Purpose: To estimate cumulative radiation exposure and lifetime attributable risk (LAR) of
radiation-induced cancer from computed tomographic (CT) scanning of adult patients at a …

Lung nodules are detected very commonly on computed tomographic (CT) scans of the
chest, and the ability to detect very small nodules improves with each new generation of CT …

OBJECTIVE. The purpose of this study was to evaluate the image noise, low-contrast
resolution, image quality, and spatial resolution of adaptive statistical iterative reconstruction …