Applied Magnetic Resonance

, Volume 42, Issue 3, pp 413–428

Hyperpolarized 13C MRS Cardiac Metabolism Studies in Pigs: Comparison Between Surface and Volume Radiofrequency Coils

  • G. Giovannetti
  • V. Hartwig
  • F. Frijia
  • L. Menichetti
  • V. Positano
  • J. H. Ardenkjaer-Larsen
  • V. Lionetti
  • G. Donato Aquaro
  • D. De Marchi
  • A. Flori
  • L. Landini
  • M. Lombardi
  • M. F. Santarelli
Article

DOI: 10.1007/s00723-011-0307-4

Cite this article as:
Giovannetti, G., Hartwig, V., Frijia, F. et al. Appl Magn Reson (2012) 42: 413. doi:10.1007/s00723-011-0307-4

Abstract

Cardiac metabolism assessment with hyperpolarized 13C magnetic resonance spectroscopy in pig models requires the design of dedicated coils capable of providing large field of view with high signal-to-noise ratio (SNR) data. This work presents a comparison between a commercial 13C quadrature birdcage coil and a homebuilt 13C circular coil both designed for hyperpolarized studies of pig heart with a clinical 3T scanner. In particular, the simulation of the two coils is described by developing an SNR model for coil performance prediction and comparison. While coil resistances were calculated from Ohm’s law, the magnetic field patterns and sample-induced resistances were calculated using a numerical finite-difference time-domain algorithm. After the numerical simulation of both coils, the results are presented as SNR-versus-depth profiles using experimental SNR extracted from the [1-13C]acetate phantom chemical shift image and with a comparison of metabolic maps acquired by hyperpolarized [1-13C]pyruvate injected in a pig. The accuracy of the developed SNR models was demonstrated by good agreement between the theoretical and experimental coil SNR-versus-depth profiles.

Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • G. Giovannetti
    • 1
  • V. Hartwig
    • 1
  • F. Frijia
    • 2
  • L. Menichetti
    • 1
    • 2
  • V. Positano
    • 2
    • 1
  • J. H. Ardenkjaer-Larsen
    • 3
    • 4
  • V. Lionetti
    • 5
  • G. Donato Aquaro
    • 2
  • D. De Marchi
    • 2
  • A. Flori
    • 6
  • L. Landini
    • 1
    • 2
    • 7
  • M. Lombardi
    • 2
  • M. F. Santarelli
    • 1
    • 2
  1. 1.Institute of Clinical Physiology, National Council of ResearchPisaItaly
  2. 2.Fondazione G. Monasterio CNR-Regione ToscanaCataldo, PisaItaly
  3. 3.GE HealthcareBroendbyDenmark
  4. 4.Department of Electrical EngineeringThe Technical University of DenmarkKgs LyngbyDenmark
  5. 5.Laboratory of Medical Science, Institute of Life SciencesPisaItaly
  6. 6.Scuola Superiore Sant’AnnaPisaItaly
  7. 7.Department of Information EngineeringUniversity of PisaPisaItaly