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Dataset Information

A Novel Phantom for Standardized Microcalcification Detection Developed Using a Crystalline Growth System.


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