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A multifrequency magnetic induction tomography system using planar gradiometers: data collection and calibration.

J Rosell-Ferrer1, R Merwa, P Brunner

  • 1Departament d'Enginyeria Electrònica, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.

Physiological Measurement
|April 26, 2006
PubMed
Summary
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A new 14-channel multifrequency magnetic induction tomography (MF-MIT) system was developed for biomedical imaging. This system achieves high sensitivity and can image conductive targets, demonstrating its potential for medical diagnostics.

Area of Science:

  • Biomedical Engineering
  • Electrical Engineering
  • Medical Imaging

Background:

  • Magnetic Induction Tomography (MIT) is an emerging imaging modality.
  • Existing systems often face limitations in sensitivity and frequency range.
  • Advanced systems are needed for detailed biomedical applications.

Purpose of the Study:

  • To develop and validate a 14-channel multifrequency magnetic induction tomography (MF-MIT) system.
  • To assess the system's performance for biomedical imaging applications.
  • To achieve high-resolution imaging of conductive targets.

Main Methods:

  • A 14-channel MF-MIT system was designed with a single excitation coil and 14 planar gradiometers.
  • Measurements were performed at frequencies from 50 kHz to 1 MHz using single or multifrequency excitation.

Related Experiment Videos

  • Object rotation, coherent demodulation, calibration, averaging, and drift cancellation were employed for image reconstruction.
  • Finite Element Method (FEM) and eddy current solvers were used for evaluation.

    • Main Results:

    • The system demonstrated low equivalent input noise voltage (2 nV Hz(-1/2)) and high sensitivity (7 nV(rms) STD for magnitude).
    • Drift cancellation techniques effectively reduced signal drift over long acquisition times.
    • The system successfully imaged a 2 S m(-1) agar sphere within a saline tank, validating its capability.

    Conclusions:

    • The developed 14-channel MF-MIT system offers robust performance for biomedical imaging.
    • The system's sensitivity and imaging capabilities are suitable for detecting conductive anomalies.
    • This technology holds promise for advancing non-invasive medical diagnostics.