Simple method for computing scattered radiation in breast tomosynthesis.

Area of Science:

• Medical Imaging
• Computational Phantoms
• Radiological Physics

Background:

• Virtual clinical trials (VCT) are crucial for advancing digital breast tomosynthesis (DBT) technology.
• Accurate simulation of DBT requires precise estimation of scattered radiation.
• Current methods for scatter estimation can be computationally intensive.

Purpose of the Study:

• To propose a fast and simple method for estimating the 2D distribution of scattered radiation in DBT simulations.
• To enable more efficient and accurate VCTs for DBT system development.

Main Methods:

• Precalculation of scatter-to-primary ratio (SPR) using Monte Carlo simulations on homogeneous phantoms.
• Application of precalculated SPR values to estimate 2D scatter distributions in inhomogeneous anthropomorphic phantoms.
• Validation of the method by comparing estimated scatter with direct Monte Carlo simulations.

Main Results:

• The proposed method demonstrated good agreement with ground truth data across three different anthropomorphic breast phantoms (OPTIMAM, University of Pennsylvania, Duke University).
• Average absolute differences ranged from 1.8% to 5.1% across the projected breast area.
• The method showed low standard deviations, indicating consistent accuracy.

Conclusions:

• The validated method provides an accurate and efficient tool for estimating scattered radiation in VCTs for DBT.
• This technique supports the study and optimization of current DBT system designs.
• The approach facilitates more reliable virtual testing of breast imaging technologies.