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Size-based protocol optimization using automatic tube current modulation and automatic kV selection in computed

Robert D MacDougall1, Patricia L Kleinman, Michael J Callahan

  • 1Boston Children's Hospital. robert.d.macdougall@childrens.harvard.edu.

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|February 20, 2016
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Summary
This summary is machine-generated.

This study details a method for optimizing pediatric CT protocols using automatic exposure control (AEC) and automatic kV selection. It provides a process for medical physicists to design protocols that meet specific dose targets for pediatric abdominal CT scans.

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Area of Science:

  • Medical Physics
  • Radiological Sciences
  • Imaging Technology

Background:

  • Diagnostic reference ranges (DRRs) for pediatric CT guide dose optimization.
  • Guidelines exist for setting size-based SSDE targets from adult values.
  • Designing manufacturer-specific CT protocols for dose targets is complex with automatic exposure control (AEC) and automatic kV selection.

Purpose of the Study:

  • To present results of testing AEC and automatic kV selection algorithms across various phantom sizes.
  • To model the effect of user-controlled parameters on Siemens CARE Dose4D and CARE kV algorithms.
  • To describe a process for designing pediatric abdominal CT protocols meeting SSDE and kV targets.

Main Methods:

  • Testing Siemens CARE Dose4D (AEC) and CARE kV algorithms using anthropomorphic phantoms (newborn to obese adult).
  • Modeling the impact of individual user-controlled parameters on algorithm performance.
  • Developing a protocol design process based on experimental findings.

Main Results:

  • The study modeled the effect of user-controlled parameters on specific Siemens AEC and automatic kV selection algorithms.
  • Results provide a basis for understanding and controlling dose in pediatric CT.
  • A practical process for designing mA-modulated protocols is described.

Conclusions:

  • The described process enables medical physicists to design pediatric abdominal CT protocols that achieve user-defined SSDE and kV targets.
  • This facilitates dose optimization in pediatric CT imaging.
  • Understanding and testing AEC algorithms is crucial for accurate dose management.