• Aucun résultat trouvé

A SAEM algorithm for the estimation of template and deformation parameters in medical image sequences

N/A
N/A
Protected

Academic year: 2021

Partager "A SAEM algorithm for the estimation of template and deformation parameters in medical image sequences"

Copied!
25
0
0

Texte intégral

Loading

Figure

Figure 1. The object deformations.
Figure 2. The scene representation and the image acquisition.
Figure 3. Displacements of finite-elements at time t j .
Figure 4. The neighborhood structure on the finite-element representation.
+5

Références

Documents relatifs

Abstract To obtain correct topological properties when analysing a 3-D image, a solution consists in using an a priori model presenting satisfying properties w.r.t. the object

For this application, the template functions obtained by the Robust Manifold Estimator based on our algorithm seem to capture the salient features of the sample of hip and knee

The conditional mic2 KO strain (ku80::diCre/endogenous mic2::loxPmic2loxP, referred to here as loxPMic2) was generated by transfecting 60 μg of the plasmid loxPMic2loxPYFP– HX into

A hybrid estimation method is proposed to estimate simultaneously the kinetic and energetic parameters of chemical models. This method combines a genetic algorithm with a

In this paper, we proposed a blind time domain deconvolu- tion, using the CLEAN algorithm to extract the tissues re- flectivity function from the measured RF signals.. Indeed, CLEAN

We propose to use a stochastic version of the EM algorithm to reach the maximum of the posterior distribution.We use the Stochastic Approximation EM (SAEM) algorithm introduced

When the tested watermarked image undergoes ''copy /past'' attack, a message containing the patient’s and diagnostic information data in addition to the

While the fixed-point algorithm in Table I does not always succeed in finding the global minimum of the non-convex problem (16), it is guaranteed to find the solution of (17).