Spinal navigation with AI-driven 3D-reconstruction of fluoroscopy images: an ex-vivo feasibility study.

ABSTRACT:

Background

With the increasing number of surgeries utilizing spinal instrumentation, three-dimensional surgical navigation aims to improve the accuracy of implant placement. However, its widespread clinical adaption has been hindered by factors such as high radiation exposure and interference with standard surgical workflows.

Methods

X23D is a novel AI-based fluoroscopy reconstruction technique that generates a 3D anatomical model of the spine from only four fluoroscopy images. Based on this technology, we developed a prototype for the surgical navigation of pedicle screws placement of the lumbar spine, visualizing the 3D-reconstructed spine anatomy and the surgical drill position in real-time. An ex-vivo study was conducted to compare the accuracy of the X23D-based navigati

SUBMITTER: Luchmann D 

PROVIDER: S-EPMC11575073 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature