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Related Experiment Video

Updated: Jun 1, 2026

Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging

Hyperpolarized ¹³C Metabolic Magnetic Resonance Spectroscopy and Imaging

Published on: December 30, 2016

Multi-band frequency encoding method for metabolic imaging with hyperpolarized [1-(13)C]pyruvate.

Cornelius von Morze¹, Galen Reed, Peter Shin

¹Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA. cornelius.vonmorze@ucsf.edu

Journal of Magnetic Resonance (San Diego, Calif. : 1997)

|May 21, 2011

Summary

A novel multi-band frequency encoding technique enables rapid metabolic imaging of hyperpolarized carbon-13 compounds. This method allows simultaneous spatial localization and spectral separation for robust metabolic analysis in vivo.

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Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging

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Area of Science:

Medical Imaging
Biochemistry
Spectroscopy

Background:

Metabolic imaging of hyperpolarized (13)C substrates is crucial for disease diagnosis.
Existing methods face challenges in speed, robustness, and spectral separation.

Purpose of the Study:

To develop a new method for simultaneous spatial localization and spectral separation of multiple hyperpolarized (13)C compounds.
To enable rapid and robust metabolic imaging of (13)C-pyruvate and its metabolites.

Main Methods:

A novel multi-band frequency encoding acquisition technique was designed.
The method places individual compounds in separate frequency encoding bands for single-echo acquisition.
Investigated in phantom studies, normal mice, and transgenic prostate cancer models.

Main Results:

Achieved spatial resolutions up to 3mm in-plane for metabolic imaging.
Successfully imaged hyperpolarized [1-(13)C]pyruvate and its metabolites [1-(13)C]lactate and [1-(13)C]alanine.
Observed elevated pyruvate and lactate signals in prostatic tissues of tumor-bearing mice.

Conclusions:

The multi-band frequency encoding technique offers rapid metabolic imaging of hyperpolarized (13)C compounds.
This approach simplifies acquisition and reconstruction compared to previous methods.
Demonstrated potential for in vivo metabolic analysis in cancer models.