Digital breast tomosynthesis (DBT) is a quasi-three-dimensional imaging modality that can
reduce false negatives and false positives in mass lesion detection caused by overlap** …

Advancing the resolution capabilities of X-ray CT imaging, particularly in low-dose
applications, is a paramount pursuit in the field. This quest for superior spatial detail is …

To reduce noise and enhance the contrast-to-noise ratio (CNR) of microcalcifications (MCs)
in digital breast tomosynthesis (DBT), we conducted a study to investigate the feasibility of …

This paper describes a new image reconstruction method for digital breast tomosynthesis
(DBT). The new method incorporates detector blur into the forward model. The detector blur …

Purpose Digital breast tomosynthesis (DBT) has been shown to somewhat alleviate the
breast tissue overlap** issues of two‐dimensional (2D) mammography. However, the …

Purpose Most digital breast tomosynthesis (DBT) reconstruction methods neglect the
blurring of the projection views caused by the finite size or motion of the x‐ray focal spot …

Objective. Digital breast tomosynthesis (DBT) has significantly improved the diagnosis of
breast cancer due to its high sensitivity and specificity in detecting breast lesions compared …

This study proposed an enhancement technique for improvising the estimation technique in
iterative back projection (IBP) by using the Lorentzian error function with a sharp infinite …

This paper investigates the training of deep convolutional neural networks (DCNNs) to
denoise digital breast tomosynthesis (DBT) images. In our approach, the DCNN was trained …

Digital breast tomosynthesis (DBT) is an important imaging modality for breast cancer
screening and diagnosis. It acquires a sequence of projection views within a limited angle …