This paper presents a method to take advantage of artificial evolution in positron emission tomography reconstruction. This imaging technique produces datasets that correspond to t...
Franck Patrick Vidal, Delphine Lazaro-Ponthus, Sam...
In this paper we describe a neural network-based method aimed at automatically calibrating the detector module contained in a scanner for a highresolution positron emission tomogra...
Beatrice Lazzerini, Francesco Marcelloni, Giovanni...
— When performing dynamic studies using emission tomography the tracer distribution changes during acquisition of a single set of projections. This is particularly true for some ...
Chi-Hoi Lau, David Dagan Feng, Brian F. Hutton, Da...
Abstract. This paper presents an evolutionary approach for image reconstruction in positron emission tomography (PET). Our reconstruction method is based on a cooperative coevoluti...
Franck Patrick Vidal, Jean Louchet, Jean-Marie Roc...