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Related Experiment Video

Updated: Aug 19, 2025

Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging
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Model-constrained reconstruction accelerated with Fourier-based undersampling for hyperpolarized [1-13 C] pyruvate

Zhan Xu1, Keith A Michel1, Christopher M Walker1

  • 1Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Magnetic Resonance in Medicine
|December 5, 2022
PubMed
Summary
This summary is machine-generated.

Model-constrained reconstruction with Fourier-based undersampling (MoReFUn) accelerates dynamic MRI. This method accurately reconstructs metabolic imaging data using hyperpolarized [1-13 C]-pyruvate, even with significant undersampling.

Keywords:
constrained reconstructionhyperpolarized MRpharmacokinetic modelingpyruvateundersampling

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Metabolic Imaging
  • Medical Physics

Background:

  • Dynamic MRI with hyperpolarized [1-13 C]-pyruvate enables metabolic imaging.
  • Acquisition speed is a limitation for dynamic MRI.
  • Accelerating MRI acquisition is crucial for improved clinical utility.

Purpose of the Study:

  • To introduce and validate Model-constrained reconstruction with Fourier-based undersampling (MoReFUn) for accelerating dynamic MRI.
  • To assess the accuracy and reliability of MoReFUn in reconstructing metabolic information.
  • To evaluate MoReFUn's performance across various datasets, including phantoms and patient data.

Main Methods:

  • MoReFUn utilizes pharmacokinetic model constraints to resolve spatial aliasing caused by undersampling.
  • The method was tested on a numerical phantom for accuracy validation under different signal-to-noise ratio (SNR) and undersampling conditions.
  • MoReFUn was evaluated on in vitro phantom data and retrospective undersampled prostate cancer patient data.

Main Results:

  • Successful reconstruction was achieved across all tested datasets using MoReFUn.
  • Image details of pyruvate and lactate time series were preserved with minimal increase (<10%) in mean square residual error at reduction factors up to 8.
  • Quantitative estimation of pyruvate-to-lactate conversion rate in prostate cancer data showed high accuracy (<10% error) at a reduction factor of 2.

Conclusions:

  • MoReFUn is an effective and reliable technique for accelerating dynamic MRI acquisition.
  • The method enables high-fidelity metabolic imaging using hyperpolarized [1-13 C]-pyruvate.
  • MoReFUn holds promise for improving the efficiency of metabolic MRI in clinical settings.