Effect of Tissue Thickness Variation in Volumetric Breast Density Estimation
IWDM '08 Proceedings of the 9th international workshop on Digital Mammography
IEEE Transactions on Image Processing
Globally convergent algorithms for maximum a posteriori transmission tomography
IEEE Transactions on Image Processing
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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.