Quantitative imaging in breast tomosynthesis and CT: comparison of detection and estimation task performance

Area of Science:

• Medical Imaging
• Radiology
• Quantitative Imaging

Background:

• Volumetric breast imaging is crucial for early breast cancer detection.
• Optimizing imaging parameters is essential for improving diagnostic accuracy.
• Current breast tomosynthesis systems balance detection and quantitative imaging needs.

Purpose of the Study:

• To develop a framework for modeling volumetric breast imaging.
• To compare detection and estimation task performance.
• To optimize quantitative breast imaging parameters.

Main Methods:

• Simulated volumetric reconstructions of a breast phantom with embedded lesions.
• Varied acquisition angles (4-204 degrees) with constant dose (1.5 mGy).
• Derived maximum likelihood estimator using noise power spectrum for accuracy and precision metrics.

Main Results:

• Detection optimal at 84 degrees; larger angles increased quantum/electronic noise, smaller angles increased anatomical noise.
• Accuracy was constant across angles; precision varied significantly.
• Precision for area, volume, and localization tasks optimized at different angles (104-125+ degrees), with localization precision superior at larger angles.

Conclusions:

• Quantitative imaging performance differs from detection task performance.
• Fourier-based metrics provide a framework for optimizing quantitative breast imaging.
• Recommended larger acquisition angles than conventional breast tomosynthesis for quantitative tasks.