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Sensitivity encoding for fast (1) H MR spectroscopic imaging water reference acquisition.

Rebecca Birch1,2, Andrew C Peet2,3, Theodoros N Arvanitis2,4

  • 1PSIBS Doctoral Training Centre, University of Birmingham, United Kingdom.

Magnetic Resonance in Medicine
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Summary

Sensitivity encoding (SENSE) accurately reconstructs water reference data for metabolite quantification, offering a significant improvement over reduced resolution techniques in magnetic resonance spectroscopic imaging (MRSI). This fast MRSI method enhances accuracy for in vivo studies.

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Area of Science:

  • Medical Imaging
  • Spectroscopy
  • Biophysics

Background:

  • Accurate water reference scans are crucial for (1)H MR spectroscopic imaging (MRSI) metabolite quantification.
  • Extended acquisition times for water reference scans limit their clinical application.
  • Sensitivity encoding (SENSE) is an established technique for reducing magnetic resonance (MR) scan times.

Purpose of the Study:

  • To quantitatively assess the accuracy of SENSE for acquiring water reference MRSI data.
  • To compare SENSE performance against the reduced resolution technique for fast MRSI water reference scans.
  • To evaluate the utility of SENSE for in vivo absolute metabolite quantification.

Main Methods:

  • 2D MRSI water reference data acquired at 3 Tesla from a phantom and three volunteers.
  • Scans performed using full acquisition, reduced resolution (2x), and SENSE (R=3).
  • Water amplitudes quantified using TARQUIN software; accuracy assessed with intensity maps and Bland-Altman statistics.

Main Results:

  • SENSE acquisition showed an average difference of 2.1 ± 3.2% compared to full acquisition.
  • Reduced resolution technique showed an average difference of 10.3 ± 10.7%.
  • SENSE demonstrated approximately three times greater accuracy than the reduced resolution technique.

Conclusions:

  • SENSE accurately reconstructs water reference MRSI data for in vivo absolute metabolite quantification.
  • SENSE offers a significant improvement in accuracy and speed over the reduced resolution technique.
  • SENSE is a viable method for accelerating MRSI acquisition without compromising quantitative accuracy.