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Updated: Jun 29, 2025

MRI and PET in Mouse Models of Myocardial Infarction
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Extended MRI-based PET motion correction for cardiac PET/MRI.

Mueez Aizaz1,2, Jochem A J van der Pol1,2, Alina Schneider3

  • 1CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands.

EJNMMI Physics
|April 6, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new MRI-based respiratory motion correction method for hybrid PET/MRI scans. The technique significantly improves cardiovascular PET image quality by increasing SUVmax and TBRmax values without affecting signal-to-noise ratio.

Keywords:
2-Dimensional image navigatorBinningMotion correctionPET/MRIRespiratory beltSignal-to-noise ratio

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Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Cardiovascular Imaging

Background:

  • Hybrid PET/MRI offers advanced diagnostic capabilities but is challenged by respiratory motion artifacts.
  • Current motion correction methods for hybrid PET/MRI often only correct PET data acquired during specific MRI sequences.
  • A comprehensive MRI-based respiratory motion correction for the entire PET acquisition is needed to improve image quality.

Purpose of the Study:

  • To introduce and evaluate an MRI-based respiratory motion correction method for complete PET data in hybrid PET/MRI.
  • To assess the impact of this novel correction method on image quality metrics in cardiac PET scans.
  • To compare the proposed method against existing non-motion-corrected approaches.

Main Methods:

  • The study included 27 patients undergoing cardiac 18F-FDG or 18F-FCH PET/MRI.
  • A 2D image navigator (iNAV) and respiratory belt recorded motion throughout the PET/MRI examination.
  • PET data was binned, reconstructed using iNAV-based motion fields, and compared between motion-corrected (MC) and non-motion-corrected (NMC) datasets, with and without cardiac gating.

Main Results:

  • Motion-corrected (MC) datasets showed significantly higher SUVmax and TBRmax values compared to non-motion-corrected (NMC) datasets (p < 0.01).
  • MC and gated (MC_G) reconstructions also demonstrated higher values than NMC and gated (NMC_G) reconstructions, though TBRmax difference was not significant (p=0.16).
  • Respiratory motion correction did not alter the signal-to-noise ratio of the images.

Conclusions:

  • The proposed MRI-based respiratory motion correction method effectively enhances cardiovascular PET image quality in hybrid PET/MRI.
  • The technique leads to significant improvements in SUVmax and TBRmax, crucial for accurate diagnosis.
  • This method maintains image signal-to-noise ratio, ensuring diagnostic reliability.