Broad Goals
- Developing methods to model human body
- Developing methods for accurately and efficiently simulate the imaging processes
- Developing models for computational reading of imaging and ancillary data
Medical imaging systems are currently evaluated using either physical phantoms or patient images, both with limitations. Physical phantoms are generally simplistic, not representative of a human population, and thus limited to fully reflect task-based or patient-specific assessments. Patient images are ground truth-limited, expensive, and ethically unattainable in repetitive studies. Virtual imaging trial (VIT), defined as conducting clinical experiments using realistic simulations, can overcome these challenges. A realistic VIT needs three main toolsets: 1) realistic computational human models, 2) representative imaging simulators, and 3) reliable models of image analysis. In our lab, we are developing and upgrading these toolsets in order to conduct realistic VITs.
Related Publications
- Modeling “Textured” Bones in Virtual Human Phantom
- Incorporation of the Living Heart Model into the 4D XCAT Phantom for Cardiac Imaging Research
- Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond
- Modeling Lung Architecture in the XCAT Series of Phantoms: Physiologically Based Airways, Arteries and Veins
- The Effect of Contrast Material on Radiation Dose at CT: Part I. Incorporation of Contrast Material Dynamics in Anthropomorphic Phantoms
- Realistic CT simulation using the 4D XCAT phantom
- 4D XCAT phantom for multimodality imaging research
- Abadi et al. DukeSim: A realistic, rapid, and scanner-specific simulation framework in computed tomography. IEEE Transactions on Medical Imaging 2019. https://pubmed.ncbi.nlm.nih.gov/30561344/
- Abadi et al. Virtual clinical trials in medical imaging: a review. Journal of Medical Imaging 2020. https://pubmed.ncbi.nlm.nih.gov/32313817/
