Adapted Convex Optimization Algorithm for Wavelet-Based Dynamic PET Reconstruction - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2009

Adapted Convex Optimization Algorithm for Wavelet-Based Dynamic PET Reconstruction

Résumé

This work deals with Dynamic Positron Emission Tomography (PET) data reconstruction, considering time as an additional variable (space+time). A convex optimization approach closely related to a Bayesian framework is adopted. The objective function to be minimized is expressed in the wavelet-frame domain and is non-necessarily differentiable in order to promote sparsity. We propose an adapted version of Forward-Backward- Douglas-Rachford (FBDR) algorithm to solve the resulting min- imization problem. The effectiveness of this approach is shown with simulated dynamic PET data. Comparative results are also provided.
Fichier principal
Vignette du fichier
fully3d09.pdf (245.55 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00621954 , version 1 (09-07-2013)

Identifiants

  • HAL Id : hal-00621954 , version 1

Citer

Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet, F. Sureau, E. Dush, et al.. Adapted Convex Optimization Algorithm for Wavelet-Based Dynamic PET Reconstruction. Fully3D, Sep 2009, Beijing, China. 10pp. ⟨hal-00621954⟩
147 Consultations
221 Téléchargements

Partager

Gmail Facebook X LinkedIn More