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Multi-site feasibility and reproducibility study on UTE 3D phosphorous MRSI using novel rosette trajectory

Seyma Alcicek1,2,3, Alexander R Craven4,5, Xin Shen6,7

  • 1Goethe University Frankfurt, University Hospital, Institute of Neuroradiology, Frankfurt am Main, Germany.

Magnetic Resonance in Medicine
|July 22, 2025
PubMed
Summary

This study introduces a new 3D MRSI method for phosphorus-31 (31P) brain imaging, demonstrating its clinical feasibility and reproducibility across multiple sites for detecting key metabolites.

Keywords:
3D 31P MRSIcompressed sensingrosette K‐space trajectory

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Area of Science:

  • Magnetic Resonance Imaging
  • Neuroimaging
  • Metabolomics

Background:

  • 31P Magnetic Resonance Spectroscopic Imaging (MRSI) is crucial for assessing brain metabolism.
  • Existing methods face challenges in acquisition speed and resolution.
  • Novel acquisition patterns are needed to improve clinical utility.

Purpose of the Study:

  • To implement and validate a novel rosette k-space pattern for 3D Ultra-short Echo Time (UTE) 31P MRSI.
  • To establish a robust, automated pipeline for data reconstruction and processing.
  • To evaluate the clinical applicability and reproducibility of this technique across different scanner setups.

Main Methods:

  • A multi-center feasibility study using a novel UTE 31P 3D MRSI sequence with a rosette petal trajectory (PETALUTE).
  • Data acquired across three institutions on Siemens Prisma and Biograph mMR scanners.
  • Healthy subjects underwent repeated measurements for spectral analysis using LCModel, with compressed sensing explored for acceleration.

Main Results:

  • High-quality 31P MRSI spectra were obtained across different sites and hardware.
  • Feasibility demonstrated with a 4x acceleration, reducing acquisition time to 6.75 minutes.
  • Key metabolites like phosphocreatine (PCr) and adenosine triphosphate (ATP) showed low variability (<20%).

Conclusions:

  • UTE 31P 3D rosette MRSI, coupled with compressed sensing and LCModel, enables clinically feasible, robust, high-resolution 31P MRSI.
  • The technique is suitable for implementation on standard clinical MRI scanners.
  • This advancement facilitates in vivo metabolic assessment in the brain.