Recent advances in cone-beam CT, including scanners for weight-bearing imaging of the extremities and high-resolution CMOS detectors, are enabling new quantitative applications in orthopedics: micro-morphometry of trabecular bone, measurements of bone mineral content, and assessment of joint morphology and biomechanics under load. The underlying algorithmic developments involve model-based reconstruction using models of system blur and polyenergetic x-ray propagation, and methods for enhanced visualization and statistical analysis of micro and macroscopic features of skeletal anatomy.

This presentation is part of Minisymposium “MS58 - Instruments and techniques for biomedical research (2 parts)”
organized by: Alberto Leardini (Laboratory of Movement Analysis and Functional-Clinical Evaluation of Prosthesis, Istituto Ortopedico Rizzoli, Bologna) .

Authors:

Wojciech Zbijewski (Johns Hopkins University, Baltimore)

Qian Cao (Department of Biomedical Engineering, Johns Hopkins University)

Steven Tilley II (Department of Biomedical Engineering, Johns Hopkins University)

Michael Brehler (Department of Biomedical Engineering, Johns Hopkins University)

Alejandro Sisniega (Department of Biomedical Engineering, Johns Hopkins University)

J. Webster Stayman (Department of Biomedical Engineering, Johns Hopkins University)

Jeffrey Siewerdsen (Johns Hopkins University)

Keywords:

computed tomography, cone-beam computed tomography, image analysis, image deblurring, image reconstruction, machine learning, nonlinear optimization, quantitative computed tomography