Development of imaging devices with enhanced quantitative capabilities through incorporation of new sensors, data acquisition protocols, imaging trajectories, and contrast mechanisms.
Algorithms to process raw sensor data to generate multi-dimensional images suitable for quantitative analysis.
1. Sisniega, G. Thawait, D. Shakoor, J.H. Siewerdsen, S. Demehri, W. Zbijewski, Motion Compensation in Extremity Cone-Beam Computed Tomography, Skeletal Radiology, 48(12), 1999–2007, 2019
2. S.Z. Liu, Q. Cao, J.H. Siewerdsen, M. Tivnan, S. Tilley II, J.H. Siewerdsen, J.W. Stayman, W. Zbijewski, Model-based dual-energy tomographic image reconstruction of objects containing known metal components, Physics in Medicine and Biology, Oct 2020.
Automated approaches to extract new types of quantitative information from medical images, including validation in clinical applications.
M Brehler, Q. Cao, K.F. Moseley, G.M. Osgood, C.D. Morris, S. Demehri, J. Yorkston, J.H. Siewerdsen, W. Zbijewski, Robust quantitative assessment of trabecular microarchitecture in extremity cone-beam CT using optimized segmentation algorithms, SPIE Medical Imaging, 105781J, 2018