We are investigating human-observer models that perform clinically realistic detection and
localization tasks as a means of making reliable assessments of digital breast tomosynthesis …

In this study, we adapt and apply model observers within the framework of realistic detection
tasks in breast tomosynthesis (BT). We use images consisting of realistic masses digitally …

The problem of optimizing the acquisition and reconstruction parameters for breast-cancer
detection with digital breast tomosynthesis (DBT) is becoming increasingly important due to …

In breast tomosynthesis (BT), multiple x-ray projections obtained over a limited angular span
are reconstructed to produce a three-dimensional (3D) volume. This 3D imagery can lead to …

The development of model observers for mimicking human detection strategies has followed
from symmetric signals in simple noise to increasingly complex backgrounds. In this study …

Purpose: This work aimed to extend Fourier‐based imaging metrics for modeling and
predicting quantitative imaging performance. The new methodology was applied to the …

Digital breast tomosynthesis (DBT) has shown promise for improving the detection of breast
cancer, but it has not yet been fully optimized due to a large space of system parameters to …

Purpose: Tomosynthesis is a promising modality for breast imaging. The appearance of the
tomosynthesis reconstructed image is greatly affected by the choice of acquisition and …

Breast density is known as a strong risk factor for breast cancer. Clinical assessment of
breast density during screening mammography is often done by radiologists through visual …

Model observers for image quality assessment have been extensively used in the field of
medical imaging. The majority of model observer developments have involved signal …