There are fields of engineering where accurate and personalised data are required; biomedical applications are one such example. We describe here a general purpose method to create computational 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 volume 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 efficient 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.
@article{EP_2005_14_a15,
author = {Alban Pag\`es and Maxime Sermesant and Pascal Frey},
title = {Generation of computational meshes from {MRI} and {CT-scan} data},
journal = {ESAIM. Proceedings},
pages = {213--223},
year = {2005},
volume = {14},
doi = {10.1051/proc:2005016},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.1051/proc:2005016/}
}
TY - JOUR
AU - Alban Pagès
AU - Maxime Sermesant
AU - Pascal Frey
TI - Generation of computational meshes from MRI and CT-scan data
JO - ESAIM. Proceedings
PY - 2005
SP - 213
EP - 223
VL - 14
UR - http://geodesic.mathdoc.fr/articles/10.1051/proc:2005016/
DO - 10.1051/proc:2005016
LA - en
ID - EP_2005_14_a15
ER -
%0 Journal Article
%A Alban Pagès
%A Maxime Sermesant
%A Pascal Frey
%T Generation of computational meshes from MRI and CT-scan data
%J ESAIM. Proceedings
%D 2005
%P 213-223
%V 14
%U http://geodesic.mathdoc.fr/articles/10.1051/proc:2005016/
%R 10.1051/proc:2005016
%G en
%F EP_2005_14_a15
Alban Pagès; Maxime Sermesant; Pascal Frey. Generation of computational meshes from MRI and CT-scan data. ESAIM. Proceedings, Tome 14 (2005), pp. 213-223. doi: 10.1051/proc:2005016
