Author profile
University of Kentucky
Intracranial hemorrhage in premature infants is a frequent and clinically significant finding, with cranial ultrasound serving as the first-line imaging modality. Interpretation can be challenging due to subtle and variable imaging appearances. This study aim...
Deep learning-based image quality assessment (DL-IQA) models are commonly trained using radiologist ratings and may provide a more objective approach to CT image quality evaluation. However, clinical deployment may be limited by institutional variation in sca...
Population-level CT dose monitoring typically relies on summary statistics and benchmark comparisons, which can obscure distributional features such as multimodality and disproportionate upper tails. This preliminary feasibility study evaluated the utility of...
ACR CT Dose Index Registry (DIR) benchmarking is commonly reviewed at discrete reporting intervals, but single-interval interpretation can be limited by benchmark shifts, transient variation, or incomplete reference data. This study evaluates how longitudinal...
To investigate whether PET-defined metabolic subregions within lung tumors exhibit distinct CT radiomic characteristics, enabling a spatially imaging-based assessment of intratumoral heterogeneity.
To evaluate how patient size, injected FDG dose, and acquisition time relate to routine whole-body PET/CT image quality, and to assess whether a simple dose–time–weight index can guide individualized protocols for more consistent noise performance.
Accurate estimation of diagnostic imaging medical physics staffing requirements remains challenging as clinical scope, regulatory burden, and academic expectations expand. Although multiple activity-based staffing models are commonly cited for workforce plann...