Comprehensive analysis of the Cramer-Rao bounds for magnetic resonance temperature change measurement in fat-water voxels using multi-echo imaging

Cory Wyatt, Brian J. Soher, Kavitha Arunachalam, James MacFall

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Object The aim of this paper is to characterize the noise propagation for MRI temperature change measurement with emphasis on finding the best echo time combinations that yield the lowest temperature noise. Materials and methods ACramer-Rao lower-bound (CRLB) calculation was used to estimate the temperature noise for a model of theMR signal in fat-water voxels. The temperature noise CRLB was then used to find a set of echo times that gave the lowest temperature change noise for a range of fat- water frequency differences, temperature changes, fat/water signal ratios, and T2? values. CRLB estimates were verified by Monte Carlo simulation and in phantoms using images acquired in a 1.5T magnet. Results Results showthat regions existwhere the CRLB predictsminimal temperature variation as a function of the other variables. The results also indicate that the CRLB values calculated in this paper provide excellent guidance for predicting the variation of temperature measurements due to changes in the signal parameters. For three echo scans, the best noise characteristics are seen for TE values of 20.71, 23.71, and 26.71 ms. Results for five and seven echo scans are also presented in the text. Conclusion The results present a comprehensive analysis of the effects of different scan parameters on temperature noise, potentially benefiting the selection of scan parameters for clinical MRI thermometry.

Original languageEnglish (US)
Pages (from-to)49-61
Number of pages13
JournalMagnetic Resonance Materials in Physics, Biology and Medicine
Volume25
Issue number1
DOIs
StatePublished - Feb 2012
Externally publishedYes

Keywords

  • Cramer-Rao lower bound
  • Fat-water imaging
  • Fat-water phantoms
  • MRI thermometry

ASJC Scopus subject areas

  • Biophysics
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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