There are fields of engineering where accurate and personalised data are required; biomed- ical applications are one such example. We describe here a general purpose method to create com- putational meshes based on the analysis and segmentation of raw medical imaging data. The various ingredients are not new: a segmentation method based on deformable contours and a surface and vol- ume mesh adaptation method based on discrete metric specifications; but the challenge that motivated this paper is to put them together in an attempt to design an automatic, easy to use and ecient 3D code. For non-engineering (like biomedical) applications, the user interface is often a key point. In this project, we put a great deal of emphasis on the automation of the whole procedure, making then possible to envisage large scale simulations with a minimal amount of user interaction. In particular, the user knowledge is required to help segmenting the image (the user is expected to have the know- how of the body anatomy), all meshing steps rely on fully automatic algorithms depending on a few parameters (for the external surface approximation). One application example is presented and commented, for which the data preparation takes a few hours and results can be obtained overnight on a PC workstation.
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