Abstract : 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.
https://hal-upec-upem.archives-ouvertes.fr/hal-00621954
Contributeur : Caroline Chaux
<>
Soumis le : mardi 9 juillet 2013 - 16:14:14
Dernière modification le : jeudi 7 mars 2019 - 15:34:12
Document(s) archivé(s) le : jeudi 10 octobre 2013 - 04:07:40
