scispace - formally typeset
J

Joseph Webster Stayman

Researcher at Johns Hopkins University

Publications -  120
Citations -  1832

Joseph Webster Stayman is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Image quality & Imaging phantom. The author has an hindex of 22, co-authored 119 publications receiving 1550 citations. Previous affiliations of Joseph Webster Stayman include University of Rochester & Carestream Health.

Papers
More filters
Journal ArticleDOI

A dedicated cone-beam CT system for musculoskeletal extremities imaging: design, optimization, and initial performance characterization.

TL;DR: The results indicate that the proposed system will deliver volumetric images of the extremities with soft-tissue contrast resolution comparable to diagnostic CT and improved spatial resolution at potentially reduced dose.
Journal ArticleDOI

Mobile C-arm cone-beam CT for guidance of spine surgery: image quality, radiation dose, and integration with interventional guidance.

TL;DR: Intraoperative CBCT using a high-performance mobile C-arm prototype demonstrates image quality suitable to guidance of spine surgery, with task-specific protocols providing an important basis for minimizing radiation dose, while maintaining image quality sufficient for surgical guidance.
Journal ArticleDOI

Monte Carlo study of the effects of system geometry and antiscatter grids on cone-beam CT scatter distributions.

TL;DR: A fast MC simulator combining GPU acceleration with variance reduction provided a systematic examination of a range of CBCT configurations in relation to scatter, highlighting the magnitude and spatial uniformity of individual scatter components, illustrating tradeoffs in CNR and artifacts and identifying the system geometries for which grids are more beneficial.
Journal ArticleDOI

Automatic localization of vertebral levels in x-ray fluoroscopy using 3D-2D registration: A tool to reduce wrong-site surgery

TL;DR: An image registration and visualization system for decision support in spine surgery by automatically labeling vertebral levels in fluoroscopy using a GPU-accelerated, intensity-based 3D-2D registration, applicable beyond the specific case of vertebral labeling.
Journal ArticleDOI

High-fidelity artifact correction for cone-beam CT imaging of the brain

TL;DR: A fairly comprehensive framework for artifact correction to enable soft-tissue brain imaging with FPD CBCT is presented and the resulting image quality motivates further development and translation of the FPD-CBCT system for imaging of acute TBI.