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What are the most commonly used reconstruction methods in DBT? 


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The most commonly used reconstruction methods in Digital Breast Tomosynthesis (DBT) include Filtered Back Projection (FBP) with additional deblurring filter , Penalized Weighted Least Squares (PWLS) with trial and error parameter estimation , and Algebraic Reconstruction Technique (ART) with Total Variation (TV) minimization . Iterative reconstruction methods, such as ART, are often used in DBT to improve the detection of masses and micro-calcifications . Compressed Sensing (CS) based algorithms have also been investigated for accurate, low-dose DBT reconstruction . Additionally, a projection-angle-dependent filtering method has been proposed as a compromise between FBP and iterative methods, yielding good image quality with comparable computational cost . The choice of reconstruction algorithm does not significantly affect the optimization of DBT acquisition parameters, as confirmed by human reader studies .

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The most commonly used reconstruction methods in DBT are filtered back projection (FBP) and simultaneous algebraic reconstruction technique (SART).
The most commonly used reconstruction methods in DBT include Algebraic Reconstruction Technique (ART) and Total Variation (TV) minimization.
The most commonly used reconstruction methods in DBT are the filtered-backprojection (FBP) algorithm and iterative reconstruction methods.
The most commonly used reconstruction methods in DBT are filtered-backprojection (FBP) with an additional deblurring filter.
The most commonly used reconstruction method in Digital Breast Tomosynthesis (DBT) is Penalized Weighted Least Squares (PWLS).

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