Name
Title | ||
|---|---|---|
Regularization parameter selection in maximum a posteriori iterative reconstruction for digital breast tomosynthesis |
Abstract | ||
|---|---|---|
The method presented in this paper addresses the problem of regularization parameter selection in maximum a posteriori iterative reconstruction for digital breast tomosynthesis The method allows analytically deriving the combination of prior function parameters for noise level expected in the reconstruction without priors and estimated breast density such that it effectively controls the level of noise while preserving the edges of breast structures Results show reduced noise level and improved contrast to noise ratio compared to filtered back projection and maximum–likelihood iterative reconstruction without penalizing term. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13666-5_74 | Digital Mammography / IWDM |
Keywords | Field | DocType |
penalizing term,breast structures results,improved contrast,likelihood iterative reconstruction,digital breast tomosynthesis,regularization parameter selection,posteriori iterative reconstruction,digital breast,noise ratio,prior function parameter,estimated breast density,noise level,contrast to noise ratio,maximum likelihood,filtered back projection,iterative reconstruction | Iterative reconstruction,Pattern recognition,Parameter,Regularization (mathematics),Artificial intelligence,Maximum a posteriori estimation,Digital Breast Tomosynthesis,Prior probability,Radon transform,Contrast-to-noise ratio,Mathematics | Conference |
Volume | ISSN | ISBN |
6136 | 0302-9743 | 3-642-13665-6 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anna K. Jerebko | 1 | 71 | 8.94 |
| Markus Kowarschik | 2 | 222 | 42.67 |
| Thomas Mertelmeier | 3 | 21 | 10.81 |