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Design simulation of high-homogeneity portable MRI magnet array using global optimization algorithm and equivalent

Jiannan Zhou1, Xia Xiao1, Yiming Liu2

  • 1State Key Laboratory of Advanced Materials for Intelligent Sensing, Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China.

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This summary is machine-generated.

This study presents a new method for designing portable MRI magnet arrays, achieving high homogeneity and field strength efficiently. The optimized design is lightweight and compact, improving accessibility for magnetic resonance imaging (MRI).

Keywords:
analytical modelimproved grey wolf optimizationmagnet arrayportable MRI

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Materials Science

Background:

  • High-field magnetic resonance imaging (MRI) systems offer superior sensitivity and resolution but are limited by cost and size.
  • Portable MRI systems are emerging as a solution to enhance MRI accessibility, especially in remote or underserved areas.

Purpose of the Study:

  • To introduce a novel optimization method for designing portable MRI permanent magnet arrays.
  • To significantly improve the efficiency and homogeneity of portable MRI magnet array design using an analytical model and global optimization.

Main Methods:

  • Developed an advanced analytical model based on matrix algebra for magnetic field calculations.
  • Integrated the analytical model with the improved grey wolf optimization (IGWO) algorithm for enhanced magnet array design.
  • Validated magnetic field calculations using finite element method (FEM) simulations, achieving high consistency.

Main Results:

  • The analytical model demonstrated high accuracy with an average RMSE of 0.4% and was over 200 times faster than FEM.
  • Achieved exceptional magnetic field homogeneity (1080 ppm) and field strength (79.5 mT) over a 0.2 m diameter spherical volume.
  • The optimized portable MRI magnet array was lightweight (129 kg) and compact (0.31 m interior diameter), outperforming genetic algorithm (GA) models.

Conclusions:

  • The novel optimization method significantly enhances the efficiency and homogeneity of portable MRI magnet array design.
  • This approach overcomes limitations of traditional FEM-based methods, avoiding local optima and improving magnetic resonance imaging system development.
  • The developed method is crucial for advancing the creation of high-homogeneity, accessible MRI systems.