Now showing items 1-10 of 26
Image reconstruction from projections of digital breast tomosynthesis using deep learning
The Filtered Backprojection (FBP) algorithm for Computed Tomography (CT) reconstruction can be mapped entire in an Artificial Neural Network (ANN), with the backprojection (BP) operation simulated analytically in a layer ...
Denoising digital breast tomosynthesis projections using convolutional neural networks
The Digital Breast Tomosynthesis (DBT) projections are obtained with low quality, being essential to use denoising methods to increase the quality of the projections. Currently, deep learning methods have become the ...
Investigating poisson noise filtering in Digital Breast Tomosynthesis
(Universidade Federal Fluminense (UFF)Rio de Janeiro, 2013)
Digital Breast Tomosynthesis (DBT) is a potential candidate to substitute digital mammography in breast cancer screening. In DBT, projection images are acquired with low levels of radiation, which significantly increases ...
Evaluation of denoising digital breast tomosynthesis data in both projection and image domains and a study of noise model on digital breast tomosynthesis image domain
Digital breast tomosynthesis (DBT) is an imaging technique created to visualize 3-D mammary structures for the purpose of diagnosing breast cancer. This imaging technique is based on the principle of computed tomography. ...
Effect of denoising on the quality of reconstructed images in digital breast tomosynthesis
(SPIESan Francisco, 2013-03)
Individual projection images in Digital Breast Tomosynthesis (DBT) must be acquired with low levels of radiation, which significantly increases image noise. This work investigates the influence of a denoising algorithm ...
Patient-derived heterogeneous breast phantoms foradvanced dosimetry in mammography and tomosynthesis
(Willey On Line Library, 2022)
Background: Understanding the magnitude and variability of the radiation dose absorbed by the breast fibroglandular tissue during mammography and digital breast tomosynthesis (DBT) is of paramount importance to assess risks ...
Bayesian reconstruction for digital breast tomosynthesis using a non-local Gaussian Markov random field a priori model
Noise is an intrinsic property of every imaging system. For imaging systems using ionizing radiation, such as digital breast tomosynthesis (DBT) or digital mammography (DM), we strive to ensure that x-ray quantum noise is ...
Camera-based CW diffuse optical tomography for obtaining 3D absorption maps by means of digital tomosynthesis
(IOP Publishing, 2020-11)
We present a novel method for obtaining a 3D absorption map of a tissue-like turbid slab in the near-infrared spectral range by tomosynthesis. Transmittance data are obtained for a large number of oblique projection ...
Accuracy and Effectiveness of Mammography versus Mammography and Tomosynthesis for Population-Based Breast Cancer Screening: A Systematic Review and Meta-Analysis
(Nature Publishing Group, 2020-05-14)
We proposed to compare the accuracy and effectiveness of digital breast tomosynthesis (DBT), plus digital or synthetic mammography, with digital mammography alone in women attending population-based breast cancer screenings. ...
Cálculo de coeficiente de conversão de dose em tomossíntese mamária digital utilizando simulador antropomórfico adulto feminino e o código MCNPXCalculation of dose conversion coefficient in breast tomosynthesis digital using anthropomorphic phantom adult female and the code MCNPX
(Universidade Federal de SergipePós-Graduação em FísicaBrasilUFS, 2017)