Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the maximum likelihood model in emission tomography and propose a new family of algorithms for its solution, called string-averaging expectationmaximization (SAEM). In the string-averaging algorithmic regime, the index set of all underlying equations is split into subsets, called ‘strings’, and the algorithm separately proceeds along each string, possibly in parallel. Then, the end-points of all strings are averaged to form the next iterate. SAEM algorithms with several strings present better practical merits than the classical row-action maximum-likelihood algorithm.  present numerical experiments showing the effectiveness of the algorithmic scheme, using data of image reconstruction problems. Performance is evaluated from the computational
['Elias S. Helou', 'Yair Censor', 'Tai-Been Chen', 'I-Liang Chern', 'Alvaro Rodolfo [Unesp] De Pierro', 'Ming Jiang', 'Henry Horng-Shing Lu']
I am writing a research paper on a idea String-averaging expectation-maximization for maximum likelihood estimation in emission tomography
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