Related Experiment Video
Updated: May 13, 2026

06:33
Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
Published on: July 29, 2013
A phantom using titanium and Landolt rings for image quality evaluation in mammography
Hugo de las Heras1, Felix Schöfer, Britta Tiller
1QUART GmbH, Kirchenweg 7, D-85604 Zorneding, Germany. hugo@quart.biz
Physics in Medicine and Biology
|March 27, 2013
Summary
A new phantom offers a simplified method for evaluating digital mammography image quality. It provides reliable and sensitive assessments comparable to established European and US protocols.
Area of Science:
- Medical Imaging
- Radiologic Technology
- Diagnostic Imaging
Background:
- Digital mammography systems require robust image quality evaluation.
- Existing phantoms used in Europe and the US have limitations.
- Standardized assessment is crucial for diagnostic accuracy.
Purpose of the Study:
- To introduce and validate a novel phantom for digital mammography image quality assessment.
- To compare the performance of the new phantom against established European and US protocols.
- To establish a sensitive, efficient, and reliable alternative evaluation method.
Main Methods:
- The phantom incorporates Landolt rings for subjective evaluation and signal-difference-to-noise ratio (SDNR) objects for objective assessment.
- Images were acquired across a range of exposures (15-160 mAs) and average glandular doses (0.2-2 mGy).
- Results were compared with European Protocol for the Quality Control of the Clinical Use of Mammography (EPQC) and American College of Radiology (ACR) protocols.
Main Results:
- Specific scores for Landolt tests (19 and 8.5) and SDNR (20 and 11) were found equivalent to EPQC and ACR acceptable limits.
- The phantom's tests demonstrated sensitivity to anatomical variations in breast thickness and density.
- The simplified evaluation method proved effective across different exposure levels.
Conclusions:
- The presented phantom provides a sensitive, efficient, and reliable method for evaluating digital mammography image quality.
- This novel approach aligns with and is comparable to established international quality control standards.
- The phantom's ability to account for anatomical variations enhances its clinical relevance for mammography systems.

