Quantitative CT Imaging - From Challenges to Clinical Insights Leveraging In Silico Data

Explore the future of quantitative CT imaging in this 42-minute invited lecture by Duke University's Associate Professor Dr. Ehsan Abadi, focusing on virtual imaging trials and their impact on optimization and clinical applications. Gain insights into cutting-edge developments in computational human modeling, medical imaging simulation, and CT imaging applications in cardiothoracic and musculoskeletal fields. Learn about the development of computational anthropomorphic models for various diseases, particularly COPD, and understand the implementation of scanner-specific simulation platforms like DukeSim. Discover how advanced imaging systems are being identified and optimized to enhance the accuracy and precision of lung and bone disease quantification, bridging the gap between technological challenges and practical clinical insights through in silico data analysis.