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Updated: Jun 15, 2026

Tree Core Analysis with X-ray Computed Tomography
Published on: September 22, 2023
Cascaded systems analysis in conventional X-ray CT: a new, objective approach
A A Schegerer1, H Schlattl, W Dietz
1Helmholtz Zentrum München-German Research Center for Environmental Health, Institute for Radiation Protection, Ingolstädter Landstrasse 1, 85758 Neuherberg, Germany. alexander.schegerer@helmholtz-muenchen.de
This study quantifies computed tomography (CT) system performance by analyzing detector and image reconstruction effects. Researchers determined quantum efficiency up to 12%, offering a new standard for CT quality control.
Area of Science:
- Medical Imaging Physics
- Radiological Technology
- Diagnostic Imaging
Background:
- Computed tomography (CT) system performance evaluation is crucial for both standard and novel systems.
- Existing methods often do not separately analyze the contributions of detection and image reconstruction.
- Quantifiable parameters are essential for objective performance characterization.
Purpose of the Study:
- To independently assess the impact of detection and image reconstruction on CT performance.
- To establish a method for characterizing standard and new CT systems.
- To determine key performance parameters like modulation transfer function, noise power spectrum, and quantum efficiency.
Main Methods:
- Utilized standardized test phantoms for CT analysis.
- Converted raw and image data to an absolute photon number scale for quantitative comparison.
- Determined modulation transfer function, noise power spectrum, and quantum efficiency for detector and system.
Main Results:
- Successfully quantified detector and system quantum efficiency for CT.
- Achieved a quantum efficiency of up to 12% in a clinically used CT system.
- Demonstrated that the proposed method's effort is comparable to classical radiography quality control.
Conclusions:
- The developed method allows for the quantitative comparison of CT quality parameters from raw and image data.
- This approach provides a novel way to determine the quantum efficiency of CT detectors and systems in clinical practice.
- The findings establish a benchmark for CT system performance evaluation and quality control.
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