Virtual Imaging Trials for Coronavirus Disease (COVID-19)
Ehsan Abadi, W. Paul Segars, Hamid Chalian, Ehsan Samei
Abstract
OBJECTIVE. The virtual imaging trial is a unique framework that can greatly facilitate the assessment and optimization of imaging methods by emulating the imaging experiment using representative computational models of patients and validated imaging simulators. The purpose of this study was to show how virtual imaging trials can be adapted for imaging studies of coronavirus disease (COVID-19), enabling effective assessment and optimization of CT and radiography acquisitions and analysis tools for reliable imaging and management of COVID-19.
Topics & Concepts
MedicineCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus InfectionsMedical physicsRadiographyMedical imagingClinical trialRadiologyDiseasePathologyInfectious disease (medical specialty)OutbreakCOVID-19 diagnosis using AIAdvanced X-ray and CT ImagingRadiomics and Machine Learning in Medical Imaging