Digital breast tomosynthesis: state of the art
S Vedantham, A Karellas, GR Vijayaraghavan… - Radiology, 2015 - pubs.rsna.org
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 …
describing the state of the art in terms of technology, results from recent clinical studies …
A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications
I Sechopoulos - Medical physics, 2013 - Wiley Online Library
Many important post‐acquisition aspects of breast tomosynthesis imaging can impact its
clinical performance. Chief among them is the reconstruction algorithm that generates the …
clinical performance. Chief among them is the reconstruction algorithm that generates the …
Breast tomosynthesis: state-of-the-art and review of the literature
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 …
reduce mortality from breast cancer (1–3). Conventional full-field digital mammography …
Task-based measures of image quality and their relation to radiation dose and patient risk
The theory of task-based assessment of image quality is reviewed in the context of imaging
with ionizing radiation, and objective figures of merit (FOMs) for image quality are …
with ionizing radiation, and objective figures of merit (FOMs) for image quality are …
Deep convolutional neural network with adversarial training for denoising digital breast tomosynthesis images
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 overlapping …
reduce false negatives and false positives in mass lesion detection caused by overlapping …
Design and application of a structured phantom for detection performance comparison between breast tomosynthesis and digital mammography
L Cockmartin, NW Marshall, G Zhang… - Physics in Medicine …, 2017 - iopscience.iop.org
This paper introduces and applies a structured phantom with inserted target objects for the
comparison of detection performance of digital breast tomosynthesis (DBT) against 2D full …
comparison of detection performance of digital breast tomosynthesis (DBT) against 2D full …
Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach
Objective. Digital breast tomosynthesis (DBT) is a quasi-three-dimensional breast imaging
modality that improves breast cancer screening and diagnosis because it reduces …
modality that improves breast cancer screening and diagnosis because it reduces …
Digital breast tomosynthesis: observer performance of clustered microcalcification detection on breast phantom images acquired with an experimental system using …
HP Chan, MM Goodsitt, MA Helvie, S Zelakiewicz… - Radiology, 2014 - pubs.rsna.org
Purpose To investigate the dependence of microcalcification cluster detectability on
tomographic scan angle, angular increment, and number of projection views acquired at …
tomographic scan angle, angular increment, and number of projection views acquired at …
Multi-step material decomposition for spectral computed tomography
Spectral images from photon counting detectors are being explored for material
decomposition applications such as for obtaining quantitative maps of tissue types and …
decomposition applications such as for obtaining quantitative maps of tissue types and …
Evaluation of a generative adversarial network to improve image quality and reduce radiation-dose during digital breast tomosynthesis
T Gomi, Y Kijima, T Kobayashi, Y Koibuchi - Diagnostics, 2022 - mdpi.com
In this study, we evaluated the improvement of image quality in digital breast tomosynthesis
under low-radiation dose conditions of pre-reconstruction processing using conditional …
under low-radiation dose conditions of pre-reconstruction processing using conditional …