Image reconstruction in digital breast tomosynthesis by total variation minimization

2007 ◽  
Author(s):  
Emil Y. Sidky ◽  
Ingrid S. Reiser ◽  
Robert Nishikawa ◽  
Xiaochuan Pan
Keyword(s):  
Image Reconstruction ◽  
Total Variation ◽  
Digital Breast Tomosynthesis ◽  
Breast Tomosynthesis ◽  
Total Variation Minimization

scholarly journals Use of a Total Variation Minimization Iterative Reconstruction Algorithm to Evaluate Reduced Projections during Digital Breast Tomosynthesis

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Tsutomu Gomi ◽  
Yukio Koibuchi
Keyword(s):  
Total Variation ◽  
Convex Sets ◽  
Iterative Algorithms ◽  
Digital Breast Tomosynthesis ◽  
Reconstruction Algorithm ◽  
Structural Similarity ◽  
Lesion Size ◽  
Reconstruction Technique ◽  
Breast Tomosynthesis ◽  
Total Variation Minimization

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 algorithms for reducing exposure doses during digital breast tomosynthesis for reduced projections. Methods. Reconstructions were evaluated using normal (15 projections) and half (i.e., thinned-out normal) projections (seven projections). The algorithms were assessed by determining the full width at half-maximum (FWHM), and the BR3D Phantom was used to evaluate the contrast-to-noise ratio (CNR) for the in-focus plane. A mean similarity measure of structural similarity (MSSIM) was also used to identify the preservation of contrast in clinical cases. Results. Spatial resolution tended to deteriorate in ASD-POCS algorithm reconstructions involving a reduced number of projections. However, the microcalcification size did not affect the rate of FWHM change. The ASD-POCS algorithm yielded a high CNR independently of the simulated mass lesion size and projection number. The ASD-POCS algorithm yielded a high MSSIM in reconstructions from reduced numbers of projections. Conclusions. The ASD-POCS algorithm can preserve contrast despite a reduced number of projections and could therefore be used to reduce radiation doses.

Backprojection Filtration Image Reconstruction Approach for Reducing High-Density Object Artifacts in Digital Breast Tomosynthesis

2019 ◽  
Vol 38 (5) ◽  
pp. 1161-1171 ◽  
Author(s):  
Hyeongseok Kim ◽  
Jongha Lee ◽  
Jeongtae Soh ◽  
Jonghwan Min ◽  
Young Wook Choi ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Digital Breast Tomosynthesis ◽  
High Density ◽  
Breast Tomosynthesis
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