Educating and training scientists on how the Center’s resources can aid their research
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June 16, 2023. Human Space Exploration and the increased Radiation Exposure – how we tackle the issue for the NASA Artemis I mission with the MARE ExperimentThomas Berger gives an overview of radiation levels encountered in space and the MARE experiment within the NASA Artemis I mission and highlights synergies between space radiation research and Earth based cancer therapy applications.
Virtual imaging study of phase-contrast chest radiography(Jan 21, 2022) Ilian Häggmark from the University of Tokyo and Kian Shaker from KTH explore the potential clinical impact of phase-contrast chest radiography through a virtual study using XCAT phantoms and state-of-the-art simulations.
Virtual Clinical Trials of Simultaneous Digital Breast Tomosynthesis and Mechanical Imaging(Dec 17, 2021) Predrag Bakic of the University of Pennsylvania presents his work using Virtual Clinical Trials to evaluate simultaneous digital breast tomosynthesis and mechanical imaging (DBTMI). DBTMI is a novel multimodality imaging method with potential to improve sensitivity and specificity of breast cancer screening.
Exploring the Clinical Advantages of Photon Counting CT Imaging Systems Using Clinical Task-based Metrics & Virtual Imaging Trials(Nov 19, 2021) Elizabeth Jones of the NIH Clinical Center and Ehsan Abadi from Duke University evaluate the potential of photon-counting CT in terms of various clinical applications and demonstrate the role of virtual imaging trials in its assessment and optimization.
Past, Present and Future Technology at HeartFlow(Sept 24, 2021) Michiel Schaap from Heartflow discusses the AI technology, physiology and CFD technology behind the HeartFlow analysis and discusses future products and challenges.
VIT Lessons Learned – Calibration, Realism, Portability, and Reproducibility(Aug 20, 2021) Andrew Maidment from the University of Pennsylvania presents his experience in developing and disseminating tools for virtual imaging trials (VITs) in breast imaging. He will explain the lessons learned from this experience, with a focus on producing accurate, reproducible results.