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Dual-energy computed tomography quality control: Initial experiences with a semi-automatic analysis tool.

S Sauranen¹, T Mäkelä¹, T Kaasalainen²

¹Department of Physics, University of Helsinki, Helsinki, Finland; HUS Diagnostic Center, Radiology, University of Helsinki and Helsinki University Hospital, P.O. Box 340, 00290 Helsinki, Finland.

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)

|January 18, 2024

Summary

A new quality control system for dual-energy CT (DECT) ensures consistent image quality and software performance. This system helps detect deviations, improving the reliability of DECT-derived maps for clinical use.

Keywords:

Dual-energy computed tomography Phantom Quality control

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Area of Science:

Medical Imaging
Radiology
Quality Control

Background:

Dual-energy CT (DECT) provides advanced material decomposition capabilities.
Ensuring the consistency of DECT image quality and derived maps is crucial for reliable clinical applications.
Existing quality control (QC) methods may not fully address the complexities of DECT post-processing.

Purpose of the Study:

To develop and validate a comprehensive QC system for DECT.
To monitor the constancy of DECT images and the software used for generating material-specific maps.
To establish a robust workflow for longitudinal DECT performance assessment.

Main Methods:

A standard DECT imaging protocol was applied using a commercial multi-energy phantom.
Scanner software generated virtual monoenergetic images, effective atomic number (Zeff) maps, and iodine concentration maps.
A semi-automatic, open-source analysis tool was utilized for quantitative evaluation of phantom inserts.

Main Results:

The QC system demonstrated high consistency in longitudinal measurements.
Minor deviations were detected, notably in smaller iodine inserts and after a software update affecting Zeff maps.
The analysis tool proved robust, allowing for corrections in segmentation and artifact handling.

Conclusions:

The developed QC system offers an accessible workflow for DECT constancy monitoring.
The system successfully identified a small post-processing-related deviation.
The proposed protocol and analysis framework can inform the establishment of DECT QC action levels.