Skip to main content

Magnetic Field Mapping in the Magnetic Resonance Imaging System Using Genetic Algorithms

  • Conference paper
  • First Online:
The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 742))

  • 734 Accesses

Abstract

The magnetic field mapping is a useful tool to design and analysis the magnetic field, especially during the installation and the regular maintenance of the magnetic field generated by the Magnetic Resonance Imaging (MRI) system. The paper presents a magnetic field mapping method for the region of interesting (ROI) in the MRI system with the help of Genetic Algorithm (GA) method. According to the equations of the magnetic field in the cylindrical coordinate system, and the shape of ROI in the MRI system, the measurement points are carefully arranged on the surface of a cylinder in the center of the MRI system to simplify the operation of the sensors in the mapper. And the parameters in the mapping method are optimized to obtain an accurate result of magnetic field mapping. At last, an example of magnetic field mapping in a practical MRI system illustrates the efficiency and the flexibility of the mapping method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Morrow, G. 2000. Progress in MRI magnets. IEEE Transactions on Applied Superconductivity 18 (1): 744–751.

    Article  Google Scholar 

  2. Huang, L., and S. Lee. 2016. Study on magnetic field mapping method in the center volume of the air-core Solenoid. IEEE Transactions on Applied Superconductivity 18 (1): 50–54.

    Google Scholar 

  3. Hayt, W.H., and J.A. Buck. 2012. Engineering Electromagnetics. New York: McGraw-Hill.

    Google Scholar 

  4. Takeda, H., T. Kubo, K. Kusaka, et al. 2013. Extraction of 3D field maps of magnetic multipoles from 2D surface measurements with applications to the optics calculations of the large-acceptance superconducting fragment separator BigRIPS. Part B 317: 798–809.

    Article  Google Scholar 

  5. Huang, L., and S. Lee. 2015. A study on the effect of the condition number in the magnetic field mapping of the Air-Core solenoid. Progress in Superconductivity and Cryogenics 17 (2): 31–35.

    Article  Google Scholar 

  6. Arora, J.S. 2012. Introduction to Optimum Design, 3rd ed. Academic Press: Elsevier.

    Google Scholar 

  7. Huang, L., and S. Lee. 2014. Development of a magnetic field calculation program for air-core solenoid which can control the precision of a magnetic field. Progress in Superconductivity and Cryogenics 16 (4): 53–56.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Junjie Huang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Beijing Oriental Sun Cult. Comm. CO Ltd

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Huang, J., Huang, L., Wang, S. (2021). Magnetic Field Mapping in the Magnetic Resonance Imaging System Using Genetic Algorithms. In: Ma, W., Rong, M., Yang, F., Liu, W., Wang, S., Li, G. (eds) The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering. Lecture Notes in Electrical Engineering, vol 742. Springer, Singapore. https://doi.org/10.1007/978-981-33-6606-0_31

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-6606-0_31

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6605-3

  • Online ISBN: 978-981-33-6606-0

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics