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Optimisation of CT protocols in PET-CT across different scanner models using different automatic exposure control

Sarah-May Gould1, Jane Mackewn2, Sugama Chicklore2

  • 1King's College London & Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK. sarah-may.gould@kcl.ac.uk.

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|July 31, 2021
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Summary

Optimizing PET-CT protocols across different scanner models is crucial for consistent image quality and radiation dose. Careful protocol translation is needed to ensure standardization between vendors like Siemens and GE.

Keywords:
Automatic exposure controlIterative reconstructionOptimisationPET-CTProtocol matching

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Area of Science:

  • Medical Imaging
  • Radiology
  • Nuclear Medicine

Background:

  • CT protocol significantly impacts radiation dose in PET-CT examinations.
  • Protocol optimization is essential for clinical purposes and dose consistency.
  • Translating low-dose CT protocols between different scanner models requires careful consideration.

Purpose of the Study:

  • To describe the experience of translating low-dose CT protocols between Siemens and GE PET-CT scanners.
  • To ensure consistency in image quality and radiation dose across different scanner models.
  • To optimize protocols for various patient sizes, including obese individuals.

Main Methods:

  • Compared CTDIvol and image noise between Siemens (SAFIRE reconstruction) and GE (ASiR reconstruction) scanners using matched patient studies.
  • Utilized phantom work and 33+27 patient pairs for protocol translation and validation.
  • Calculated size-specific dose estimates (SSDEs) and conducted visual grading of image quality.

Main Results:

  • Mean CTDIvol differences varied between scanners, with Siemens showing lower doses in the second study (-20.5%).
  • Image noise differences were observed, with higher noise on Siemens in the second study (19.8%).
  • Mean SSDEs were 3.27 mGy for Siemens and 4.09 mGy for GE; visual grading showed no preference for SAFIRE strengths.

Conclusions:

  • Translating CT protocols between different vendors (Siemens and GE) requires careful attention.
  • Differences in acquisition parameters and reconstruction algorithms necessitate protocol optimization and standardization.
  • Achieving consistent image quality and radiation dose across diverse scanner models is achievable with meticulous protocol management.