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. Key research accomplishments included: 1. Developed a prototype robotic system with force feedback to assist the physician in minimally invasive ultrasound interventions 2. Completed a new rotating needle driver to hold and spin the needle for biopsy procedures under robotic control 3. Developed a control methodology for the rehabilitation arm exoskeleton for modulating shoulder impedance during physical therapy 4. Demonstrated image-guided spinal vertebroplasty in a phantom model using our open source software package IGSTK 5. Completed an evaluation study of electromagnetic tracking in the clinical environment 6. Developed an image-guided system for optimized volumetric treatment planning and execution for radiofrequency ablation of liver tumors 7. Investigated PET/CT guided interventional papers including completing an initial study to evaluate the relative sensitivity of CT versus PET/CT in detecting suspicious lesions

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2008
Accession Number
ADA510225

Entities

People

  • Kevin R. Cleary

Organizations

  • Georgetown University

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Anesthesia
  • Arteries
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Detectors
  • Diagnostic Imaging
  • Health Services
  • Medical Personnel
  • Operating Systems
  • Radio Frequency
  • Rehabilitation
  • Strain Gages
  • Virtual Reality
  • X-Ray Computed Tomography

Fields of Study

  • Medicine
  • Physics

Readers

  • Medical Imaging.
  • Neurotrauma and Rehabilitation Medicine.

Technology Areas

  • AI & ML
  • Autonomy