![]() The shapes and density of the COVID-19 lesions are modeled based on the segmentation of real data. These lesions are incorporated into an existing virtual phantom library, creating a population of virtual patients with COVID-19 abnormalities. Such patient models can be used to design optimal imaging protocols for the diagnosis and staging of COVID-19, as well as other diseases.įig. ![]() 1-Simulated CT images of coronavirus disease 2019 (COVID-19) on 4D extended cardiac-torso phantom developed at Duke University. Images of same phantom show simulated CT at 50 ( A), 25 ( B), and 5 ( C) mAs, as well as simulated chest radiograph ( D, blue border). Since VIT components are modeled in a modular fashion, they need to be integrated with each other to conduct a complete VIT.
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