Methods for motion correction evaluation using 18F-FDG human brain scans on a high-resolution PET scanner

Sune H Keller1, Merence Sibomana, Oline V Olesen

  • 1Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen, University Hospital, Copenhagen, Denmark. sune@pet.rh.dk

Abstract

Insights

Quality control methods for motion correction in PET scans were developed. These methods effectively evaluate external motion tracking, though automated image registration showed better performance for major motion.

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Image Processing

Background:

  • Patient motion during PET scans significantly impacts kinetic analysis and image resolution.
  • Misaligned transmission data for attenuation and scatter correction can introduce quantification bias in emission images.

Purpose of the Study:

  • Develop and evaluate quality control (QC) methods for motion correction (MC) in human PET scans.
  • Assess MC procedures utilizing external motion tracking (EMT) via an optical system.

Main Methods:

  • Selected (18)F-FDG PET scans with minor (<2 mm) and major (>4 mm) motion, identified by optical motion tracking.
  • Applied automated image registration (AIR) and EMT for motion correction on time-framed emission data.
  • Evaluated MC performance using three QC methods: gray/white matter ratio (GM/WM), mutual information, and cross-correlation.

Main Results:

  • The three QC methods yielded consistent results, aligning with visual inspection.
  • Pre-MC scans with major motion showed significant variations in QC measures; minor motion scans had limited variations.
  • Post-MC, AIR significantly reduced variations and improved measures, while EMT MC performed less effectively.

Conclusions:

  • The developed QC methods are reliable for evaluating tracer-independent, external-tracking motion correction techniques in human brain PET.
  • Automated image registration demonstrated superior performance in motion correction for significant patient movement compared to EMT.

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