caa a22 4500 605541221 CHVBK 20210128100915.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00371-014-0978-6 doi (NATIONALLICENCE)springer-10.1007/s00371-014-0978-6 Multiple reconstruction and dynamic modeling of 3D digital objects using a morphing approach [Elektronische Daten] Application to kidney animation and tumor tracking [Valentin Leonardi, Vincent Vidal, Marc Daniel, Jean-Luc Mari] Organ segmentation and motion simulation of organs can be useful for many clinical purposes such as organ study, diagnostic aid, therapy planning or even tumor destruction. In this paper we present a full workflow starting from a CT-Scan resulting in kidney motion simulation and tumor tracking. Our method is divided into three major steps: kidney segmentation, surface reconstruction and animation. The segmentation is based on a semi-automatic region-growing approach that is refined to improve its results. The reconstruction is performed using the Poisson surface reconstruction and gives a manifold three-dimensional (3D) model of the kidney. Finally, the animation is accomplished using an automatic mesh morphing among the models previously obtained. Thus, the results are purely geometric because they are 3D animated models. Moreover, our method requires only a basic user interaction and is fast enough to be used in a medical environment, which satisfies our constraints. Finally, this method can be easily adapted to magnetic resonance imaging acquisition because only the segmentation part would require minor modifications. Springer-Verlag Berlin Heidelberg, 2014 Geometric modeling nationallicence Surface reconstruction nationallicence Dynamic modeling nationallicence Mesh morphing nationallicence Leonardi Valentin LSIS, UMR CNRS 7296, Aix-Marseille Université, Marseille, France aut Vidal Vincent LIIE, EA 4264, CERIMED, Aix-Marseille Université, Marseille, France aut Daniel Marc LSIS, UMR CNRS 7296, Aix-Marseille Université, Marseille, France aut Mari Jean-Luc LSIS, UMR CNRS 7296, Aix-Marseille Université, Marseille, France aut The Visual Computer Springer Berlin Heidelberg 31/5(2015-05-01), 557-574 0178-2789 31:5<557 2015 31 371 https://doi.org/10.1007/s00371-014-0978-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-0978-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Leonardi Valentin LSIS, UMR CNRS 7296, Aix-Marseille Université, Marseille, France aut NATIONALLICENCE 700 1- Vidal Vincent LIIE, EA 4264, CERIMED, Aix-Marseille Université, Marseille, France aut NATIONALLICENCE 700 1- Daniel Marc LSIS, UMR CNRS 7296, Aix-Marseille Université, Marseille, France aut NATIONALLICENCE 700 1- Mari Jean-Luc LSIS, UMR CNRS 7296, Aix-Marseille Université, Marseille, France aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/5(2015-05-01), 557-574 0178-2789 31:5<557 2015 31 371