Periscopic Spine Surgery

Abstract

The Periscopic Spine Surgery project was envisioned to lay the ground work for developing the physician assist systems of the future. These systems will incorporate robotics, tracking, and visualization to improve the precision of instrument placement and manipulation in minimally invasive procedures. This project has enabled the Georgetown team to become a world leader in the emerging fields of computer aided surgery and medical robotics. Our goal will continue to be to develop systems to add the physician in these demanding minimally invasive procedures with the ultimate aim of improving patient care. Key research accomplishments included: 1. Developed a novel end-effector and automated registration technique for instrument guidance during minimally invasive procedures using a portable needle driver robot. 2. Developed a prototype exoskeleton for shoulder therapy during rehabilitation. 3. Completed a clinical trial on sensorimotor adaptation using a forearm-based robotics system. 4. Developed an open source software architecture and implementation for rapid prototyping of imageguided surgery systems. 5. Completed an image-guided system for more accurate transbronchial biopsy based on electromagnetic tracking of instruments.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA469259

Entities

People

  • Kevin R. Cleary

Organizations

  • Georgetown University

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • C4I
  • Engineered Resilient Systems
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Computational Science
  • Computers
  • Control Systems
  • Detectors
  • Diagnostic Imaging
  • Graphical User Interface
  • Guidance
  • Health Services
  • Image Processing
  • Joints (Anatomy)
  • Medical Personnel
  • Operating Systems
  • Physicians
  • Therapy
  • Three Dimensional
  • Virtual Reality
  • X-Ray Computed Tomography

Fields of Study

  • Medicine

Readers

  • Medical Imaging.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • Autonomy