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Evaluating the impact of reconstruction algorithms on digital breast tomosynthesis system optimization for
Xinyu Hu1, Xiang Li2, Runqiu Li2
1Department of Molecular Bioscience (Biophysics Track), Duke Kunshan University, Kunshan, Jiangsu, People's Republic of China.
Biomedical Physics & Engineering Express
|April 1, 2026
Summary
Optimizing digital breast tomosynthesis (DBT) requires balancing X-ray tube motion, dose distribution, and detector design. Step-and-shot motion with simultaneous algebraic reconstruction technique (SART) improves microcalcification detection.
Area of Science:
- Medical Imaging
- Radiology
- Computational Phantoms
Background:
- Early detection of microcalcifications in digital breast tomosynthesis (DBT) is crucial for breast cancer diagnosis.
- Image quality and microcalcification detectability in DBT are influenced by system design and image reconstruction algorithms.
Purpose of the Study:
- To evaluate the combined impact of X-ray tube motion, angular dose distribution, and detector characteristics on microcalcification detectability using different reconstruction algorithms.
- To provide guidance for optimizing DBT system design and acquisition protocols.
Main Methods:
- An in-silico study using a synthetic breast phantom with 127 microcalcification clusters.
- Acquisition under four conditions varying tube motion (continuous vs. step-and-shot), angular dose distribution (uniform vs. non-uniform), and detector parameters (noise, pixel size).
- Reconstruction using filtered backprojection (FBP) and simultaneous algebraic reconstruction technique (SART), with performance assessed via 2D Filtered Channel Observer (FCO) in a multi-reader, multi-case (MRMC) study.
Main Results:
- Simultaneous algebraic reconstruction technique (SART) demonstrated superior performance with step-and-shot acquisition, reducing motion blur and enhancing detail.
- Filtered backprojection (FBP) showed greater benefit from non-uniform angular dose distributions.
- Detector improvements, including lower noise and finer resolution, consistently enhanced microcalcification detectability for both algorithms, with FBP exhibiting the most significant gains.
Conclusions:
- The detectability of microcalcifications in DBT is highly dependent on the interplay between reconstruction algorithms, X-ray tube motion, dose strategies, and detector design.
- Findings offer practical insights for optimizing DBT hardware and acquisition protocols to improve early detection of microcalcifications in clinical settings.
