Multi-Objective Evolutionary Algorithm for PET Image Reconstruction: Concept

In many diagnostic imaging settings, including positron emission tomography (PET), images are typically used for multiple tasks such as detecting disease and quantifying disease. Unlike conventional image reconstruction that optimizes a single objective, this work proposes a multi-objective optimiza...

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Veröffentlicht in:	IEEE transactions on medical imaging Jg. 40; H. 8; S. 2142 - 2151
Hauptverfasser:	Abouhawwash, Mohamed, Alessio, Adam M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms emission tomography Evolutionary algorithms Function space Genetic algorithms genetic optimization Image processing Image reconstruction Iterative methods Maximum likelihood estimation Medical imaging Multi-objective optimization Multiple objective analysis Objective function Optimization pareto optimal PET image reconstruction Positron emission Positron emission tomography Regularization Sociology Statistical analysis Statistics Tomography
ISSN:	0278-0062, 1558-254X, 1558-254X
Online-Zugang:	Volltext
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