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              <p>Numerical dosimetry studies require the development of accuratenumerical 3D models of the human body. This paper proposes a novel methodfor building 3D heterogeneous young children models combining results obtainedfrom a semi-automatic multi-organ segmentation algorithm and an anatomydeformation method. The data consist of 3D Magnetic Resonance Images, whichare first segmented to obtain a set of initial tissues. A deformation procedureguided by the segmentation results is then developed in order to obtain 5 youngchildren models ranging from the age of 5 to 37 months. By constraining thedeformation of an older child model toward a younger one using segmentationresults, we assure the anatomical realism of the models. Using the proposedframework, five models, containing thirteen tissues, are built. Three of thesemodels are used in a prospective dosimetry study to analyze young child exposureto radiofrequency electromagnetic fields. The results lean to show the existence ofa relationship between age and whole body exposure. The results also highlightthe necessity to specifically study and develop measurements of child tissuesdielectric properties.</p>
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