Compensating for magnetic field inhomogeneity in multigradient-echo-based MR thermometry

F.F.J. Simonis*, E.T. Petersen, L.W. Bartels, J.J.W. Lagendijk, C.A.T. van den Berg

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
2 Downloads (Pure)

Abstract

Purpose

MR thermometry (MRT) is a noninvasive method for measuring temperature that can potentially be used for radio frequency (RF) safety monitoring. This application requires measuring absolute temperature. In this study, a multigradient-echo (mGE) MRT sequence was used for that purpose. A drawback of this sequence, however, is that its accuracy is affected by background gradients. In this article, we present a method to minimize this effect and to improve absolute temperature measurements using MRI.

Theory

By determining background gradients using a B0 map or by combining data acquired with two opposing readout directions, the error can be removed in a homogenous phantom, thus improving temperature maps.

Methods

All scans were performed on a 3T system using ethylene glycol-filled phantoms. Background gradients were varied, and one phantom was uniformly heated to validate both compensation approaches. Independent temperature recordings were made with optical probes.

Results

Errors correlated closely to the background gradients in all experiments. Temperature distributions showed a much smaller standard deviation when the corrections were applied (0.21°C vs. 0.45°C) and correlated well with thermo-optical probes.

Conclusion

The corrections offer the possibility to measure RF heating in phantoms more precisely. This allows mGE MRT to become a valuable tool in RF safety assessment. Magn Reson Med 000:000–000, 2014. © 2014 Wiley Periodicals, Inc. Magn Reson Med 73:1184–1189, 2015. © 2014 Wiley Periodicals, Inc.

Original languageEnglish
Pages (from-to)1184-1189
JournalMagnetic resonance in medicine
Volume73
Issue number3
DOIs
Publication statusPublished - Mar 2015
Externally publishedYes

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