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Updated: Dec 11, 2025

Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging
Published on: December 30, 2016
Dynamic volumetric hyperpolarized 13 C imaging with multi-echo EPI.
Kofi Deh1,2, Kristin L Granlund1,2, Roozbeh Eskandari1,2
1Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
This study presents a robust method using iterative least squares (IDEAL) reconstruction for creating dynamic, volumetric maps of hyperpolarized 13C-pyruvate and its metabolites in vivo. This technique enhances the assessment of metabolic processes across multiple organs.
Area of Science:
- Medical Imaging
- Metabolic Imaging
- Hyperpolarized MRI
Background:
- Dynamic metabolic imaging provides insights into cellular function.
- Current methods for mapping hyperpolarized tracers have limitations in resolution and speed.
Purpose of the Study:
- To develop and validate a method for generating dynamic, volumetric maps of hyperpolarized [1-13C]pyruvate and its metabolic products in vivo.
- To assess the efficacy of iterative least squares (IDEAL) reconstruction for this purpose.
Main Methods:
- Iterative least squares (IDEAL) reconstruction was applied to multiecho echo-planar imaging (EPI) data.
- Phantoms and mice injected with hyperpolarized [1-13C]pyruvate were imaged on a preclinical 3T scanner.
- Image quality was evaluated by assessing the separation of chemical species and generating time course and area-under-the-curve plots.
Main Results:
- Increased EPI shots (one to four) improved IDEAL decomposition and chemical species separation.
- Dynamic 3D metabolite maps of pyruvate and its products (pyruvate hydrate, lactate, bicarbonate, alanine) were successfully generated in live mice.
- Time course and area-under-the-curve graphs for the heart, kidneys, and liver showed good agreement with existing literature.
Conclusions:
- IDEAL decomposition of multishot multiecho 13C EPI is a robust method for high-quality dynamic volumetric mapping of hyperpolarized [1-13C]pyruvate and its metabolites.
- This technique has significant potential for assessing multiorgan metabolic phenomena in vivo.
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