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Data acquisition in PET imaging.

Frederic H Fahey1

  • 1PET Center, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA. ffahey@wfubmc.edu

Journal of Nuclear Medicine Technology
|June 11, 2002
PubMed
Summary
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This paper clarifies Positron Emission Tomography (PET) data acquisition, detailing sinograms and projection views for raw data storage. It explains 2D and 3D PET differences and axial sampling concepts like span and maximum ring difference.

Area of Science:

  • Nuclear Medicine
  • Medical Imaging Physics

Background:

  • Positron Emission Tomography (PET) data acquisition differs significantly from planar nuclear medicine and Single-Photon Emission Computed Tomography (SPECT).
  • Understanding PET-specific terminology and data organization is crucial for effective imaging.

Purpose of the Study:

  • To provide readers with essential terminology and a comprehensive understanding of PET data acquisition.
  • To elucidate the considerations and choices involved in different PET data acquisition strategies.
  • To compare PET data acquisition methods with those used in SPECT.

Main Methods:

  • Discussion of sinograms and projection views as methods for storing and visualizing raw PET data.
  • Exploration of techniques to enhance axial sampling while ensuring adequate counts per slice.

Related Experiment Videos

  • Description of sinogram compression (mashing) to manage raw data storage requirements.
  • Main Results:

    • Detailed comparison of 2-dimensional (2D) and 3-dimensional (3D) PET data acquisition and storage.
    • Introduction of "Michelograms" for visualizing axial sampling characteristics in both 2D and 3D PET.
    • Explanation of key terms such as "span" and "maximum ring difference" and their impact on axial sampling.

    Conclusions:

    • Readers will be able to describe and compare PET data storage methods (sinograms, projection views) with SPECT.
    • Readers will understand the relationship between "span," "maximum ring difference," and axial sampling in 2D and 3D PET.
    • Readers will be able to identify three key differences between 3D and 2D PET acquisition.