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SU-E-I-82: Image Signal-To-Noise Equalization in Whole Body PET Using Variable Acquisition Times.

M Dahlbom1, A Kriszan1, J Czernin1

  • 1UCLA School of Medicine, Los Angeles, CA.

Medical Physics
|May 19, 2017
PubMed
Summary
This summary is machine-generated.

Whole Body PET scans can achieve uniform image quality by adjusting scan times based on tissue attenuation. This method ensures consistent signal-to-noise ratio across all axial positions, improving diagnostic accuracy.

Keywords:
Computed tomographyMedical image noiseMedical imagingPoisson's equationPolynomialsPositron emission tomography

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Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Positron Emission Tomography (PET)

Background:

  • Whole Body PET (WB-PET) scans use constant acquisition times per axial position.
  • Image signal-to-noise ratio (S/N) varies due to differing attenuation and activity distribution.
  • Current methods do not fully account for anatomical variations affecting image quality.

Purpose of the Study:

  • Investigate variable bed position scan times in WB-PET.
  • Equalize the signal-to-noise ratio (S/N) in the axial direction.
  • Optimize image quality across different body sections.

Main Methods:

  • Simulated WB-PET scans using CT-derived activity and attenuation.
  • Employed phantoms with varying cross-sections for imaging.
  • Estimated image noise using Poisson noise addition and bootstrap methods.
  • Adjusted acquisition times per section to equalize image noise (SD/Mean).

Main Results:

  • Identified a polynomial relationship between image noise and AC factors (simulations and measurements).
  • Variable scan times produced uniform S/N images, independent of cross-sectional thickness.
  • Confirmed effectiveness in phantom and patient data.

Conclusions:

  • Axial noise properties in WB-PET can be equalized by adjusting acquisition time based on attenuation.
  • Scan times can be reduced in low-attenuation areas and increased in high-attenuation regions.
  • CT-derived AC factors allow for rapid calculation of optimal acquisition times.