Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesis

ObjectivesA virtual clinical trial (VCT) method is proposed to determine the limit of calcification detection in tomosynthesis.MethodsBreast anatomy, focal findings, image acquisition, and interpretation (n = 14 readers) were simulated using screening data (n = 660 patients). Calcifications (0.2-0.4 mm(3)) were inserted into virtual breast phantoms. Digital breast tomosynthesis (DBT) acquisitions were simulated assuming various acquisition geometries: source motion (continuous and step-and-shoot), detector element size (140 and 70 & mu;m), and reconstructed voxel size (35-140 & mu;m). VCT results were estimated using multiple-reader multiple-case analyses and d' statistics. Signal-to-noise (SNR) analyses were also performed using BR3D phantoms.ResultsSource motion and reconstructed voxel size demonstrated significant changes in the performance of imaging systems. Acquisition geometries that use 70 & mu;m reconstruction voxel size and step-and-shoot motion significantly improved calcification detection. Comparing 70 with 100 & mu;m reconstructed voxel size for step-and-shoot, the & UDelta;AUC was 0.0558 (0.0647) and d' ratio was 1.27 (1.29) for 140 & mu;m (70 & mu;m) detector element size. Comparing step-and-shoot with a continuous motion for a 70 & mu;m reconstructed voxel size, the & UDelta;AUC was 0.0863 (0.0434) and the d' ratio was 1.40 (1.19) for 140 & mu;m (70 & mu;m) detector element. Small detector element sizes (e.g., 70 & mu;m) did not significantly improve detection. The SNR results with the BR3D phantom show that calcification detection is dependent upon reconstructed voxel size and detector element size, supporting VCT results with comparable agreement (ratios: d' = 1.16 & PLUSMN; 0.11, SNR = 1.34 & PLUSMN; 0.13).ConclusionDBT acquisition geometries that use super-resolution (smaller reconstructed voxels than the detector element size) combined with step-and-shoot motion have the potential to improve the detection of calcifications.

Automated summary

A virtual clinical trial method is proposed to determine the limit of calcification detection in tomosynthesis. The study simulated breast anatomy, focal findings, image acquisition, and interpretation using screening data and inserted calcifications into virtual breast phantoms. The results suggest that DBT acquisition geometries that use super-resolution reconstruction voxel size smaller than the detector element size and step-and-shoot motion have the potential to improve the detection of calcifications.