Use of a Total Variation Minimization Iterative Reconstruction Algorithm to Evaluate Reduced Projections during Digital Breast Tomosynthesis
Purpose. We evaluated the efficacies of the adaptive steepest descent projection onto convex sets (ASD-POCS), simultaneous algebraic reconstruction technique (SART), filtered back projection (FBP), and maximum likelihood expectation maximization (MLEM) total variation minimization iterative algorith...
Main Authors: | Tsutomu Gomi, Yukio Koibuchi |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2018/5239082 |
Similar Items
-
A fast Total Variation-based iterative algorithm for digital breast tomosynthesis image reconstruction
by: E Loli Piccolomini, et al.
Published: (2016-12-01) -
A Model-Based Optimization Framework for Iterative Digital Breast Tomosynthesis Image Reconstruction
by: Elena Loli Piccolomini, et al.
Published: (2021-02-01) -
Digital Breast Tomosynthesis Screening
by: Eun Young Chae, et al.
Published: (2019-01-01) -
Image Quality of Digital Breast Tomosynthesis: Optimization in Image Acquisition and Reconstruction
by: Wu, Gang
Published: (2014) -
Numerical approaches for solving the combined reconstruction and registration of digital breast tomosynthesis
by: Yang, G.
Published: (2012)