Development of a Dedicated Rebinner with Rigid Motion Correction for the mMR PET/MR Scanner, and Validation in a

Anthonin Reilhac1,2, Inés Merida2, Zacharie Irace2

  • 1Clinical Imaging Research Centre, A*STAR-NUS, Singapore anthonin_reilhac@circ.a-star.edu.sg.

Insights

Head motion during brain PET scans causes blurring and bias. This study developed a list-mode motion correction method for PET/MR scanners, significantly improving image accuracy and quantitative results for 11C-Pittsburgh compound B scans.

Area of Science:

  • Neuroimaging
  • Medical Physics
  • Radiochemistry

Background:

  • Head motion during Positron Emission Tomography (PET) studies degrades image quality, causing blurring and quantitative bias.
  • Accurate quantification in PET imaging is crucial for diagnosing and monitoring neurodegenerative diseases like Alzheimer's.

Purpose of the Study:

  • To implement and validate a list-mode based motion correction method for PET data acquired on a simultaneous PET/MR scanner.
  • To assess the impact of motion correction on quantitative accuracy and image resolution using 11C-Pittsburgh compound B (11C-PIB) scans.

Main Methods:

  • A list-mode rebinner was developed to process PET events, apply motion transformations, and reconstruct sinograms.
  • Rigid-body motion parameters were estimated from dynamic PET data, and correction was optimized using simulated and real 11C-PIB scans.
  • The method was applied to a large cohort of 11C-PIB scans to evaluate its effectiveness and impact.

Main Results:

  • The motion correction method effectively removed motion-induced artifacts in 11C-PIB scans with minimal loss of spatial resolution (approx. 1 mm FWHM increase).
  • Over 21% of scans showed motion exceeding 10 mm, with 39% in subjects with cognitive impairment (MMSE < 20).
  • Motion correction resulted in quantitative changes up to 30% in Alzheimer's-specific cortical regions.

Conclusions:

  • The developed list-mode rebinner provides accurate head motion correction for PET/MR imaging with negligible impact on image resolution.
  • Systematic motion correction is essential for obtaining reliable quantitative results in 11C-PIB PET studies, particularly in patient populations prone to motion.
  • This method enhances the diagnostic utility of PET imaging for neurodegenerative diseases by improving data accuracy.

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