WE-DE-207B-06: Artifact Reduction in Digital Breast Tomosynthesis with the Denoised Ordered-Subset Statistically Penalized Algebraic Reconstruction Technique (DOS-SPART) Algorithm

2016 ◽  
Vol 43 (6Part40) ◽  
pp. 3818-3818
Author(s):  
J Garrett ◽  
Y Li ◽  
K Li ◽  
G Chen
Keyword(s):  
Digital Breast Tomosynthesis ◽  
Reconstruction Technique ◽  
Artifact Reduction ◽  
Algebraic Reconstruction Technique ◽  
Breast Tomosynthesis ◽  
Algebraic Reconstruction

scholarly journals An Object-Oriented Simulator for 3D Digital Breast Tomosynthesis Imaging System

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Saeed Seyyedi ◽  
Kubra Cengiz ◽  
Mustafa Kamasak ◽  
Isa Yildirim
Keyword(s):  
Compressed Sensing ◽  
Imaging System ◽  
Digital Breast Tomosynthesis ◽  
Object Oriented ◽  
Reconstruction Technique ◽  
Data Sets ◽  
Algebraic Reconstruction Technique ◽  
Reconstruction Algorithms ◽  
Breast Tomosynthesis ◽  
Algebraic Reconstruction

Digital breast tomosynthesis (DBT) is an innovative imaging modality that provides 3D reconstructed images of breast to detect the breast cancer. Projections obtained with an X-ray source moving in a limited angle interval are used to reconstruct 3D image of breast. Several reconstruction algorithms are available for DBT imaging. Filtered back projection algorithm has traditionally been used to reconstruct images from projections. Iterative reconstruction algorithms such as algebraic reconstruction technique (ART) were later developed. Recently, compressed sensing based methods have been proposed in tomosynthesis imaging problem. We have developed an object-oriented simulator for 3D digital breast tomosynthesis (DBT) imaging system using C++ programming language. The simulator is capable of implementing different iterative and compressed sensing based reconstruction methods on 3D digital tomosynthesis data sets and phantom models. A user friendly graphical user interface (GUI) helps users to select and run the desired methods on the designed phantom models or real data sets. The simulator has been tested on a phantom study that simulates breast tomosynthesis imaging problem. Results obtained with various methods including algebraic reconstruction technique (ART) and total variation regularized reconstruction techniques (ART+TV) are presented. Reconstruction results of the methods are compared both visually and quantitatively by evaluating performances of the methods using mean structural similarity (MSSIM) values.

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