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SU-D-217A-03: Nuclear Medicine Uniformity Assessment Using 2D Noise Power Spectrum.

J Nelson1,1,2,3,4,5,6,1, O Christianson1,1,2,3,4,5,6,1, B Harkness1,1,2,3,4,5,6,1

  • 1Duke University Medical Center, Durham, NC.

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Summary

A new Structure Noise Index (SNI) metric improves nuclear medicine uniformity assessment by detecting subtle image patterns missed by traditional methods. This quantitative tool enhances accuracy and reduces the need for manual visual inspection.

Keywords:
Medical imagingNuclear medicine imagingOptical inspectionPhysicistsQuality assuranceQuantum noiseTesting procedures

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Area of Science:

  • Medical Imaging
  • Nuclear Medicine Physics

Background:

  • Daily quality control in nuclear medicine relies on pixel value-based uniformity assessment (Integral CFOVUniformity).
  • This traditional method often fails to detect subtle, visually apparent structured non-uniformities, necessitating manual inspection.
  • There is a need for quantitative metrics that correlate better with visual assessment of structured noise.

Purpose of the Study:

  • To develop a novel uniformity assessment metric targeting structural patterns in nuclear medicine images.
  • To create a metric that more closely correlates with expert visual inspection of image uniformity.

Main Methods:

  • A new metric, the Structure Noise Index (SNI), was developed based on the 2D Noise Power Spectrum (NPS).
  • The 2D NPS was processed to remove quantum noise and filtered by a visual response function.
  • 50 daily uniformity images were scored by 5 nuclear medicine physicists, and their scores were compared with SNI and Integral CFOVUniformity.

Main Results:

  • The SNI metric demonstrated a significant increase in sensitivity for detecting structured non-uniformities, rising from 67% to 100% compared to Integral CFOVUniformity.
  • The positive predictive value of the SNI metric improved from 55% to 72%.
  • SNI showed a closer correlation with expert visual assessment than the traditional pixel-based method.

Conclusions:

  • The Structure Noise Index (SNI) is a more accurate quantitative measure for assessing uniformity in structured nuclear medicine images.
  • This new metric closely aligns with visual inspection, improving the detection of clinically unacceptable non-uniformities.
  • Integrating SNI with traditional methods offers a more comprehensive quantitative assessment of nuclear medicine image uniformity.