OBJECTIVE: To evaluate the changes of maxillary expansion and upper airway structure
after microimplant assisted rapid palatal expansion (MARPE) using cone-beam computed …

Digital dental technology covers oral cone-beam computed tomography (CBCT) image
processing and low-dose CBCT dental applications. A low-dose CBCT image enhancement …

OBJECTIVE: To assess clinical application of applying deep learning image reconstruction
(DLIR) algorithm to contrast-enhanced portal venous phase liver computed tomography (CT) …

This report by the Radiation Oncology Discipline of Children's Oncology Group (COG)
describes the practice patterns of pediatric image‐guided radiotherapy (IGRT) based on a …

OBJECTIVE: To determine the optimal pre-adaptive and post-adaptive level statistical
iterative reconstruction V (ASiR-V) for improving image quality and reducing radiation dose …

Iterative reconstruction has been proven to be an effective tool for low-dose computed
tomography imaging. However, this technology is currently not available in commercial …

OBJECTIVE: To investigate feasibility of applying deep learning image reconstruction (DLIR)
algorithm in a low-kilovolt enhanced scan of the upper abdomen. METHODS: A total of 64 …

Adaptive radiotherapy is an effective procedure for the treatment of cancer, where the daily
anatomical changes in the patient are quantified, and the dose delivered to the tumor is …

OBJECTIF: L'objectif de cette étude a été de valider le potentiel des méthodes de
reconstruction itérative nouvellement développées en imageries CT à faisceau conique, afin …

The reconstruction algorithm based on the network of generative adversarial and contextual
coding (RANGC) was proposed in this study to analyze the impacts on the prognosis of …