Cone-beam CT is now prevalent in applications requiring high-resolution visualization of high-contrast bone, including dental-maxillofacial imaging and image-guided orthopaedic surgery. Emerging 3D image reconstruction methods propel capability further with respect to soft-tissue structures, addressing conventionally confounding factors of x-ray scatter, patient motion, and image noise. Optimization-based image reconstruction overcomes conventional noise-resolution tradeoffs and demonstrates image quality consistent with soft-tissue visualization in musculoskeletal imaging, imaging of acute intracranial hemorrhage, and image-guided interventions targeting soft-tissue lesions.

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:

Jeffrey Siewerdsen (Johns Hopkins University)

Matthew Jacobson (Department of Biomedical Engineering, Johns Hopkins University)

Grace J. Gang (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)

Ali Uneri (Department of Biomedical Engineering, Johns Hopkins University)

Wojciech Zbijewski (Johns Hopkins University, Baltimore)

Keywords:

computed tomography, cone-beam computed tomography, image reconstruction, image registration, image-guided surgery, image-guided therapy, nonlinear optimization, statistical inverse estimation methods