• Aucun résultat trouvé

Atlas-Based Automatic Generation of Subject-Specific Finite Element Tongue Meshes

N/A
N/A
Protected

Academic year: 2021

Partager "Atlas-Based Automatic Generation of Subject-Specific Finite Element Tongue Meshes"

Copied!
33
0
0

Texte intégral

Loading

Figure

Table 1 Mesh quality distribution for the atlas and subject FE tongue meshes generated by the proposed method.
Fig. 1 Block diagram of the Mesh-Match-and-Repair (MMRep) algorighm for generation of the 3D subject-specific FE meshes [15].
Fig. 2 General dataflow proposed to generate 3D subject-specific FE meshes.
Fig. 3 (a) Atlas MR data superimposed with the 3D atlas FE tongue mesh, (b) Side, (c) isometric and (d) front views respectively of the 3D FE tongue mesh.
+7

Références

Documents relatifs

observed that the living tissue of the bone adapts to the external stimuli that it suffers, proposing that the cancellous bone tends to align itself with the main directions of

We study a time-delay regularization of the anisotropi diusion model for image denoising of Malik.. and Perona, whih has been proposed by Nitzberg

On simple synthetic images examples, we will show that the equilibrated warping method is effective and robust: regularization strength and image noise have minimal impact on

Equilibrated warping is a powerful method for non-rigid registration of images involving large deformation.. Penalizing the equilibrium gap regularizes the image correlation

Final measured longitudinal Green-Lagrange strain (mean ± standard deviation over the mesh) as a function of regularization strength β , for hyperelastic (left) and equilibrated

Index Terms—Kernel machines, nonnegative matrix factorization, reproducing kernel Hilbert space, pre-image problem, hyperspectral image, unmixing

It can be seen as an extension to the space-time domain of the Proper Generalized Decomposition (PGD) method previously proposed in DIC [6] where the dimensions of space were

power of the corporate brand image; strength of the corporate brand-country association; brand image fit; brand image unfit; strength of the industry-country