Skip to main navigation Skip to search Skip to main content

A robotic C-arm fluoroscope.

N. Binder*, L. Matthäus, R. Burgkart, A. Schweikard

*Corresponding author for this work

Abstract

Fluoroscopic C-arms are common devices for acquiring images during surgery. Manual positioning is time consuming and requires considerable experience. Trained users must often take several images to find the best viewing direction. If a second image must be taken from the same position, e.g. for postoperative control, the C-arm must be moved to the exact same position. Without guidance, this is often difficult to accomplish. We developed the idea to completely "robotize" a standard C-arm, i.e. to equip all joints with motors and encoders. A software environment provides for intelligent control. To archive this goal a complete kinematic analysis of the fluoroscope was necessary. On the basis of this analysis a number of clinical applications have been developed: (1) simplified positioning via cartesian control; (2) automatic acquisition of panoramic images; (3) 3D CT with arbitrary viewing angles; (4) 4D intraoperative CT with/without respiration triggering; (5) automated anatomy-oriented positioning. The goal of this research is thus three-fold: minimise radiation exposure of the OR staff, reduce positioning time and offer enhanced imaging capability.

Original languageEnglish
JournalThe international journal of medical robotics + computer assisted surgery : MRCAS
Volume1
Issue number3
Pages (from-to)108-116
Number of pages9
ISSN1478-5951
DOIs
Publication statusPublished - 01.01.2005

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics of 'A robotic C-arm fluoroscope.'. Together they form a unique fingerprint.

Cite this