Tumor Localization Using Radio Frequency Implants

Abstract

A real-time, 3D tumor localization system for radiotherapy treatment was investigated. The proposed system is based upon generating detectable magnetic fields to calculate the transmitter position. To determine feasibility, the problem was divided into several tasks: (1) to generate a real-time signal with sufficient strength to be detected at large distances, and (2) to determine a suitable detection system and calculation algorithm to determine the position. To develop the system, a theoretical foundation for the system was developed to characterize the system design including the transmitter, dipole energy source, the detector configuration, and calculation algorithm. The first part of the theory development was tested using analog components. These experiments demonstrated that the theoretical development was sufficient to design the system. The conclusion is that the transmitter will charge within one second and generate a detectable signal at approximately I meter from the inductor. The remaining task of localizing the transmitter from the signal was solved using SQUID detectors and a localization algorithm. The detectors are arranged in a specific configuration to limit expense and accurately locate the transmitter. The overall theory and experiments demonstrate that tumors can be localized in real-time at sufficiently large distances required for clinical treatment.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA462672

Entities

People

  • John E. Mcgary

Organizations

  • Baylor College of Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Detection
  • Detectors
  • Dipole Antennas
  • Energy Transfer
  • Far Field
  • Ferrites
  • Frequency
  • Health Services
  • Magnetic Dipoles
  • Magnetic Fields
  • Magnetic Induction
  • Magnetic Moments
  • Magnetometers
  • Radio Frequency
  • Resonant Frequency
  • Transmitters

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electronics Engineering
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.