X-ray imaging plays a pivotal role in clinical diagnostics by facilitating tasks ranging from
organ segmentation to disease detection. With the integration of artificial intelligence (AI) …

Introduction: Several studies have reported the relation between the imaging dose and
secondary cancer risk and have emphasized the need to minimize the additional imaging …

Purpose Accurate simulation of organ doses in C-arm CBCT is critical for estimating
personalised patient dosimetry. However, system complexities such as automatic exposure …

Purpose This study aimed to propose a methodological approach for reducing the radiation
dose in pediatric conebeam computed tomography (CBCT), focusing exclusively on …

The last two decades have witnessed increasing use of X-ray imaging and, hence, the
exposure of humans to potentially harmful ionizing radiation. Computed tomography …

Purpose: Preoperative three-dimensional computed tomography is currently the gold
standard imaging modality in patients with craniofacial anomalies. In these patients, bone …

Purpose Linac integrated cone beam CT (CBCT) scanners have become widespread tool
for image guidance in radiotherapy. The current implementation uses constant imaging …

Objectives To assess image quality and radiation dose in computed tomography (CT)
studies of the petrous bone done with a scanner using a tin filter, high-resolution detectors …

Objetivos Valorar la calidad de imagen y la dosis de radiación en tomografía computarizada
(TC) de peñascos adquiridos con una TC multidetector (TCMD) con filtro de estaño …

We developed a region-of-interest (ROI) image reconstruction method that effectively
reduces truncation artifacts in CBCT. By using U-Net-based deep learning (DL) methods, we …