Deep learning-based reconstruction of interventional tools and devices from four X-ray projections for tomographic interventional guidance.
Journal:
Medical physics
Published Date:
Aug 30, 2021
Abstract
PURPOSE: Image guidance for minimally invasive interventions is usually performed by acquiring fluoroscopic images using a monoplanar or a biplanar C-arm system. However, the projective data provide only limited information about the spatial structure and position of interventional tools and devices such as stents, guide wires, or coils. In this work, we propose a deep learning-based pipeline for real-time tomographic (four-dimensional [4D]) interventional guidance at conventional dose levels.