scholarly journals Image artifacts in digital breast tomosynthesis: Investigation of the effects of system geometry and reconstruction parameters using a linear system approach

2008 ◽  
Vol 35 (12) ◽  
pp. 5242-5252 ◽  
Author(s):  
Yue-Houng Hu ◽  
Bo Zhao ◽  
Wei Zhao
Keyword(s):  
Linear System ◽  
System Approach ◽  
Digital Breast Tomosynthesis ◽  
Image Artifacts ◽  
Breast Tomosynthesis ◽  
System Geometry

Digital Breast Tomosynthesis: Technique and Common Artifacts

2020 ◽  
Vol 2 (6) ◽  
pp. 615-628
Author(s):  
Yi-Chen Lai ◽  
Kimberly M Ray ◽  
James G Mainprize ◽  
Tatiana Kelil ◽  
Bonnie N Joe
Keyword(s):  
Digital Breast Tomosynthesis ◽  
Image Artifacts ◽  
Angular Range ◽  
Reconstruction Algorithms ◽  
Breast Tomosynthesis ◽  
Patient Motion ◽  
Image Optimization ◽  
Trade Offs ◽  
Scan Time ◽  
Multiple Variables

Abstract Image optimization at digital breast tomosynthesis (DBT) involves a series of trade-offs between multiple variables. Wider sweep angles provide better separation of overlapping tissues, but they result in decreased in-plane resolution as well as increased scan times that may be prone to patient motion. Techniques to reduce scan time, such as continuous tube motion and pixel binning during detector readout, reduce the chances of patient motion but may degrade the in-plane resolution. Image artifacts are inherent to DBT because of the limited angular range of the acquisition. Iterative reconstruction algorithms have been shown to reduce various DBT artifacts.

scholarly journals The effect of system geometry and dose on the threshold detectable calcification diameter in 2D-mammography and digital breast tomosynthesis

2017 ◽  
Vol 62 (3) ◽  
pp. 858-877 ◽  
Author(s):  
Andria Hadjipanteli ◽  
Premkumar Elangovan ◽  
Alistair Mackenzie ◽  
Padraig T Looney ◽  
Kevin Wells ◽  
...  
Keyword(s):  
Digital Breast Tomosynthesis ◽  
Breast Tomosynthesis ◽  
System Geometry

scholarly journals A fast Total Variation-based iterative algorithm for digital breast tomosynthesis image reconstruction

2016 ◽  
Vol 10 (4) ◽  
pp. 277-289 ◽  
Author(s):  
E Loli Piccolomini ◽  
E Morotti
Keyword(s):  
Fixed Point ◽  
Linear System ◽  
Total Variation ◽  
Iterative Algorithm ◽  
Digital Breast Tomosynthesis ◽  
Coefficient Matrix ◽  
Total Variation Regularization ◽  
Breast Tomosynthesis ◽  
System Solution ◽  
First Order Method

In this work, we propose a fast iterative algorithm for the reconstruction of digital breast tomosynthesis images. The algorithm solves a regularization problem, expressed as the minimization of the sum of a least-squares term and a weighted smoothed version of the Total Variation regularization function. We use a Fixed Point method for the solution of the minimization problem, requiring the solution of a linear system at each iteration, whose coefficient matrix is a positive definite approximation of the Hessian of the objective function. We propose an efficient implementation of the algorithm, where the linear system is solved by a truncated Conjugate Gradient method. We compare the Fixed Point implementation with a fast first order method such as the Scaled Gradient Projection method, that does not require any linear system solution. Numerical experiments on a breast phantom widely used in tomographic simulations show that both the methods recover microcalcifications very fast while the Fixed Point is more efficient in detecting masses, when more time is available for the algorithm execution.

scholarly journals Comparison of radiation dose between 2D digital stereotactic versus digital breast tomosynthesis-guided breast biopsies

2021 ◽  
Vol 134 ◽  
pp. 109407
Author(s):  
T. Amir ◽  
S.P Zuckerman ◽  
B. Barufaldi ◽  
A.D Maidment ◽  
E.F Conant
Keyword(s):  
Radiation Dose ◽  
Digital Breast Tomosynthesis ◽  
Breast Tomosynthesis
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