Periscopic Spine Surgery

Abstract

This project is aimed at improving the state of the art of image-guided and minimally invasive spine procedures by developing a new generation of clinical techniques along with the computer-based hardware and software needed for their implementation. The current focus of the project is on physician assist systems incorporating robotics, tracking, and visualization to improve the precision of instrument placement and manipulation in minimally invasive procedures. Key research accomplishments for this year are: (1) Developed a protocol for applying a robotic needle driver to spine nerve blocks and received approval from the Army Human Subjects Board; (2) Demonstrated a robotic biopsy tested incorporating robotics, tracking, and image overlay; (3) Developed a new technique for automatic registration of a vertebral body using an optical tracker and embedded fiducial carrier; (4) Our collaborators in the Urology Robotics Laboratory at Johns Hopkins Medical Institutions constructed the hardware for mounting the robotic needle driver on the computed tomography and fluoroscopy tables at Georgetown University Medical Center; and (5) Established a new collaboration with the NSF sponsored Engineering Research Center for Computer Integrated Surgical Systems and Technology at Johns Hopkins University to develop a modular software architecture for physician assist systems incorporating robotics, tracking, and image guidance.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA391286

Entities

People

  • Kevin Cleary

Organizations

  • Georgetown University

Tags

Communities of Interest

  • Autonomy
  • Biomedical

DTIC Thesaurus Topics

  • Anesthesia
  • Application Protocols
  • Computers
  • Electronic Mail
  • Health Services
  • Information Systems
  • Medical Personnel
  • Network Science
  • Pain
  • Software Development
  • Spine
  • Three Dimensional
  • Veins
  • X-Ray Computed Tomography

Fields of Study

  • Medicine

Readers

  • Medical Imaging.
  • Research Science/Academic Research
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • Autonomy