This topical review on digital breast tomosynthesis (DBT) is provided with the intent of
describing the state of the art in terms of technology, results from recent clinical studies …

The roles of physicists in medical imaging have expanded over the years, from the study of
imaging systems (sources and detectors) and dose to the assessment of image quality and …

Inverse problems arise from the need to interpret indirect and incomplete measurements. As
an area of contemporary mathematics, the field of inverse problems is strongly driven by …

Purpose: Develop a computer‐aided detection (CAD) system for masses in digital breast
tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with …

The high complexity of various inverse problems poses a significant challenge to model-
based reconstruction schemes, which in such situations often reach their limits. At the same …

Many important post‐acquisition aspects of breast tomosynthesis imaging can impact its
clinical performance. Chief among them is the reconstruction algorithm that generates the …

The Achilles heel of screening mammography is the detection of cancer in women with
radiographic dense breasts. Although nearly all cancers will be apparent in fatty breasts …

Objective To compare the clinical performance of digital breast tomosynthesis (DBT) with
that of full-field digital mammography (FFDM) in a diagnostic population. Methods The study …

Limited angle problem is a challenging issue in x-ray computed tomography (CT) field.
Iterative reconstruction methods that utilize the additional prior can suppress artifacts and …

Standard analog mammography is a screening success story with the proven capacity to
reduce mortality from breast cancer (1–3). Conventional full-field digital mammography …