Computer Graphics and Applications, Pacific Conference on (1999)
Oct. 5, 1999 to Oct. 7, 1999
Deformable surface models are an attractive method for segmenting the three-dimensional shapes of complex anatomic structures in volumetric medical images. Despite the success of this approach, several problems remain. In this paper, we propose a multi-scale deformable surface model with non-intersection constraint forces that successfully addresses three significant problems, sensitivity to model initialization, difficulties in dealing with severe object concavities, and model self-intersection. The first two problems are addressed by the multi-scale scheme, which progressively resamples the trianglulated, deformable surface model both globally and locally, matching its resolution to the levels of a volume image pyramid. We address the third problem by including a non-intersection constraint force among the customary internal and external forces in the physics-based formulation. We apply our new deformable surface model to the challenging task of extracting brain cortical surfaces.
J. Park, D. Terzopoulos, T. McInerney and M. Kim, "A Multiscale Deformable Model for Extracting Complex Surfaces from Volume Images," Computer Graphics and Applications, Pacific Conference on(PG), Seoul, Korea, 1999, pp. 208.