Application of Linear Gradient Magnetic Field in Arterial Profile Scanning Imaging

Yanjun Liu1,2, Guoqiang Liu2,3, Dan Yang1,4,5

  • 1College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.

Insights

This study introduces a new electromagnetic artery scanning imaging method using a linear gradient magnetic field for early disease detection. The technique reconstructs arterial profiles with 90% accuracy and 1mm resolution in real-time.

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Electromagnetism

Background:

  • Cardiovascular and cerebrovascular diseases are leading causes of death, often linked to arterial stenosis and sclerosis.
  • Current diagnostic methods are costly and complex, hindering early disease prediction and monitoring.
  • A novel, non-invasive electromagnetic imaging approach is needed for early arterial disease detection.

Purpose of the Study:

  • To investigate the coupling effect between arterial blood flow and a linear gradient magnetic field.
  • To develop a method for reconstructing arterial profiles for enhanced imaging.
  • To lay the theoretical groundwork for new electromagnetic artery scanning technology.

Main Methods:

  • Utilized a combination coil to generate a linearly gradient magnetic field with a scanning zero-magnetic-field line.
  • Detected voltage signals on the body surface based on the magnetoelectric effect of blood flow.
  • Employed the reciprocity theorem integral equation to derive a numerical model for arterial radius reconstruction.
  • Validated the method through finite element analysis simulations in COMSOL.

Main Results:

  • Achieved 90% numerical accuracy and 1mm spatial resolution in arterial profile reconstruction.
  • Demonstrated real-time imaging capability with a single scanning time of 0.005 seconds at 100 Hz.
  • Simulation results verified the effectiveness of the proposed method for arterial imaging.

Conclusions:

  • Linear gradient magnetic fields show potential for arterial profile imaging.
  • The proposed method offers advantages in imaging speed and resolution over traditional techniques.
  • Further clinical validation is required to confirm the application of this technology in early arterial disease detection.