@inproceedings{be4a542a94f34c8ab15700b549acdeff,
title = "A fast mesh deformation method for neuroanatomical surface inflated representations",
abstract = "In this paper we present a new metric preserving deformation method which permits to generate smoothed representations of neuroanatomical structures. These surfaces are approximated by triangulated meshes which are evolved using an external velocity field, modified by a local curvature dependent contribution. This motion conserves local metric properties since the external force is modified by explicitely including an area preserving term into the motion equation. We show its applicability by computing inflated representations from real neuroanatomical data and obtaining smoothed surfaces whose local area distortion is less than a 5 \%, when comparing with the original ones.",
keywords = "Area-preserving deformation model, Deformable geometry, Surface inflating",
author = "Andrea Rueda and {\'A}lvaro Perea and Daniel Rodr{\'i}guez-P{\'e}rez and Eduardo Romero",
year = "2007",
doi = "10.1007/978-3-540-77129-6\_11",
language = "English",
isbn = "9783540771289",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "75--86",
booktitle = "Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings",
address = "Germany",
note = "2nd Pacific Rim Symposium on Image and Video Technology, PSIVT 2007 ; Conference date: 17-12-2007 Through 19-12-2007",
}