A simple convergence proof of the ML-EM algorithm in the presence of background emission

For data obeying a Poisson statistics, the ML-EM (“Maximum Likelihood - Expectation Maximization”), also known as the Richardson-Lucy algorithm, is frequently used and its convergence properties are well known since several decades. To take into account the ubiquitous presence of background emission...

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Bibliographic Details
Published in:	Annali dell'Università di Ferrara. Sezione 7. Scienze matematiche Vol. 68; no. 2; pp. 259 - 275
Main Authors:	Bertero, Mario, De Mol, Christine
Format:	Journal Article
Language:	English
Published:	Milan Springer Milan 01.11.2022 Springer Nature B.V
Subjects:	Algebraic Geometry Algorithms Analysis Astronomy Convergence Emission Geometry History of Mathematical Sciences Mathematics Mathematics and Statistics Maximization Medical imaging Numerical Analysis Optimization 92C55 68U10 Inverse problems 78A46 85-08 Imaging Background emission 65K10 Poisson data EM algorithm
ISSN:	0430-3202, 1827-1510
Online Access:	Get full text
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