Bayesian Maximum Entropy Based Algorithm for Digital X-ray Mammogram Processing

Autor: Radu Mutihac
Jazyk: angličtina
Rok vydání: 2009
Předmět:
Zdroj: Algorithms, Vol 2, Iss 2, Pp 850-878 (2009)
Druh dokumentu: article
ISSN: 1999-4893
DOI: 10.3390/a2020850
Popis: Basics of Bayesian statistics in inverse problems using the maximum entropy principle are summarized in connection with the restoration of positive, additive images from various types of data like X-ray digital mammograms. An efficient iterative algorithm for image restoration from large data sets based on the conjugate gradient method and Lagrange multipliers in nonlinear optimization of a specific potential function was developed. The point spread function of the imaging system was determined by numerical simulations of inhomogeneous breast-like tissue with microcalcification inclusions of various opacities. The processed digital and digitized mammograms resulted superior in comparison with their raw counterparts in terms of contrast, resolution, noise, and visibility of details.
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