Ontology highlight
ABSTRACT: Background/objectives
The accurate detection of microcalcifications in mammograms is critical for the early detection of breast cancer. However, the variability between different manufacturers is significant, particularly with digital breast tomosynthesis (DBT). Manufacturers have many design differences, including sweep angles, detector types, reconstruction techniques, filters, and focal spot construction. This study outlined the development of an innovative phantom model using crystallizations to improve the accuracy of imaging microcalcifications in DBT. The goal of these models was to achieve consistent evaluations, thereby reducing the variability between different scanners.Methods
We created a novel phantom model that simulates different types of breast tissue densit
SUBMITTER: Wu DH
PROVIDER: S-EPMC11945459 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature