caa a22 4500 467914230 CHVBK 20180406152857.0 cr unu---uuuuu 170328e20060801xx s 000 0 eng 10.1007/s11263-006-6850-z doi (NATIONALLICENCE)springer-10.1007/s11263-006-6850-z Fast Constrained Surface Extraction by Minimal Paths [Elektronische Daten] [Roberto Ardon, Laurent Cohen] In this paper we consider a new approach for single object segmentation in 3D images. Our method improves the classical geodesic active surface model. It greatly simplifies the model initialization and naturally avoids local minima by incorporating user extra information into the segmentation process. The initialization procedure is reduced to introducing 3D curves into the image. These curves are supposed to belong to the surface to extract and thus, also constitute user given information. Hence, our model finds a surface that has these curves as boundary conditions and that minimizes the integral of a potential function that corresponds to the image features. Our goal is achieved by using globally minimal paths. We approximate the surface to extract by a discrete network of paths. Furthermore, an interpolation method is used to build a mesh or an implicit representation based on the information retrieved from the network of paths. Our paper describes a fast construction obtained by exploiting the Fast Marching algorithm and a fast analytical interpolation method. Moreover, a Level set method can be used to refine the segmentation when higher accuracy is required. The algorithm has been successfully applied to 3D medical images and synthetic images. Springer Science + Business Media, LLC, 2006 active surfaces nationallicence active contours nationallicence minimal paths nationallicence level set method nationallicence object extraction nationallicence Ardon Roberto MEDYSIS, Philips France, 51, rue Carnot, 92120, Suresnes, France aut Cohen Laurent CEREMADE, UMR 7534 Université Paris-Dauphine, Place du Marechal de Lattre de Tassigny, 75775, Paris cedex 16, France aut International Journal of Computer Vision Kluwer Academic Publishers 69/1(2006-08-01), 127-136 0920-5691 69:1<127 2006 69 11263 https://doi.org/10.1007/s11263-006-6850-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-006-6850-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ardon Roberto MEDYSIS, Philips France, 51, rue Carnot, 92120, Suresnes, France aut NATIONALLICENCE 700 1- Cohen Laurent CEREMADE, UMR 7534 Université Paris-Dauphine, Place du Marechal de Lattre de Tassigny, 75775, Paris cedex 16, France aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 69/1(2006-08-01), 127-136 0920-5691 69:1<127 2006 69 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer