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Detecting and estimating head motion in brain PET acquisitions using raw time-of-flight PET data.

P J Schleyer1, J T Dunn, S Reeves

  • 1Division of Imaging Sciences and Biomedical Engineering, King's College London, St Thomas', London, SE1 7EH, UK.

Physics in Medicine and Biology
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PubMed
Summary

This study introduces novel methods to detect head motion in brain PET scans retrospectively, without special hardware. These techniques improve image quality by identifying motion events and aligning frames, reducing processing time.

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Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Neuroscience

Background:

  • Head motion during brain PET imaging degrades image quality.
  • Current motion correction methods often rely on prospective hardware or fixed-frame analysis.

Purpose of the Study:

  • To develop and validate retrospective methods for detecting head motion in PET data without dedicated hardware.
  • To align PET frames based on detected motion events for improved image reconstruction.

Main Methods:

  • Utilized principal component analysis (PCA) and motion-induced spatial displacements to detect motion in raw time-of-flight PET data.
  • Defined frame boundaries by motion occurrences for reconstruction without attenuation correction, followed by alignment and combination.
  • Validated methods using phantom and [18F]-Fallypride patient data, comparing against fixed-frame approaches.

Main Results:

  • Both PCA and spatial displacement methods accurately identified all motion in phantom data, avoiding intra-frame motion.
  • Patient data showed comparable image sharpness to fixed-frame methods but with a 3.4-fold reduction in reconstructions and registrations.
  • Retrospective motion detection reduced overall data processing requirements.

Conclusions:

  • Head motion in brain PET can be detected retrospectively from raw data alone, eliminating the need for additional hardware.
  • This approach enables motion estimation for any listmode brain PET acquisition, streamlining processing and potentially mitigating intra-frame motion.