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MR-PET head motion correction based on co-registration of multicontrast MR images

Zhaolin Chen1,2, Francesco Sforazzini1, Jakub Baran1,3

  • 1Monash Biomedical Imaging, Monash University, Melbourne, Australia.

Human Brain Mapping
|January 4, 2019
PubMed

Insights

Head motion causes artifacts in neuroimaging. This new MR-guided method automatically corrects positron emission tomography (PET) motion, improving image quality and accuracy for MR-PET scans.

Area of Science:

  • Neuroimaging
  • Medical Physics
  • Radiochemistry

Background:

  • Head motion is a significant source of image artifacts in neuroimaging, degrading quantitative accuracy in positron emission tomography (PET) scans.
  • Simultaneous magnetic resonance-positron emission tomography (MR-PET) offers a solution by using high-resolution MR images to estimate and correct PET motion artifacts.

Purpose of the Study:

  • To introduce and evaluate a fully automated PET motion correction method guided by MR imaging.
  • To assess the performance of the MR-guided MAF method in improving image sharpness and quantitative accuracy.

Main Methods:

  • Developed a fully automated PET motion correction technique (MR-guided MAF) utilizing the co-registration of multicontrast MR images.
  • Evaluated the method on MR-PET data from ten healthy participants undergoing [18-F]FDG infusion.

Main Results:

  • MR-guided PET image reconstruction effectively reduced head motion artifacts compared to conventional methods.
  • The technique demonstrated improvements in image sharpness and quantitative accuracy for simultaneous MR-PET scans.
  • The automated motion estimation method is available as a public web service.

Conclusions:

  • The MR-guided MAF method provides an effective, automated solution for correcting head motion artifacts in PET imaging.
  • This approach enhances the diagnostic and quantitative capabilities of simultaneous MR-PET scanners.
  • The public availability of the web service promotes wider adoption and research in MR-PET motion correction.
Keywords:
MR image registrationMR-guided MAFMR-guided motion correctionPET motion artefactsPET motion correctionPET/MRmultiple acquisition frame (MAF)simultaneous MR-PET

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