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Related Experiment Video

Updated: Jun 16, 2026

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
10:52

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing

Published on: March 8, 2020

Eigenmode analysis of transmit coil array for tailored B1 mapping.

Kay Nehrke1, Peter Börnert

  • 1Philips Research Europe, Hamburg, Germany. kay.nehrke@philips.com

Magnetic Resonance in Medicine
|February 11, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method to improve radiofrequency (RF) field B(1) mapping accuracy in MRI. By analyzing coil eigenmodes, researchers reduced mapping errors and enhanced RF performance for parallel transmit applications.

Related Experiment Videos

Last Updated: Jun 16, 2026

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
10:52

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing

Published on: March 8, 2020

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Radiofrequency (RF) Engineering
  • Biomedical Engineering

Background:

  • Accurate in vivo radiofrequency (RF) field B(1) mapping is crucial for advanced parallel transmit applications in MRI.
  • Existing MR-based B(1) mapping techniques face accuracy challenges due to the wide dynamic range of individual coil element transmit fields.

Purpose of the Study:

  • To investigate the impact of B(1) mapping errors on RF performance in parallel transmit MRI.
  • To develop and validate a novel method for reducing B(1) mapping errors and improving RF performance.

Main Methods:

  • Coil eigenmode analysis was employed to study B(1) mapping errors.
  • Linear properties of the transmit chain were utilized to virtually adjust coil eigenmode weighting during B(1) mapping.
  • Simulations and experimental validation using phantoms and in vivo scans on a 3-T scanner with an eight-channel body coil were performed.

Main Results:

  • The proposed method significantly reduced B(1) mapping errors.
  • Adjusting eigenmode weighting improved RF performance for applications like specific absorption rate (SAR) reduced RF shimming and multidimensional RF pulses.
  • Feasibility was demonstrated through simulations and experimental results.

Conclusions:

  • The developed coil eigenmode-based approach offers a robust solution for accurate in vivo B(1) mapping.
  • This technique enhances RF performance and opens possibilities for optimized parallel transmit MRI applications.
  • The method is validated for practical use in MRI systems.