Skip to Main content Skip to Navigation
Conference papers

Adapted Convex Optimization Algorithm for Wavelet-Based Dynamic PET Reconstruction

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.
Complete list of metadata

Cited literature [17 references]  Display  Hide  Download
Contributor : Caroline Chaux Connect in order to contact the contributor
Submitted on : Tuesday, July 9, 2013 - 4:14:14 PM
Last modification on : Tuesday, January 25, 2022 - 3:11:29 AM
Long-term archiving on: : Thursday, October 10, 2013 - 4:07:40 AM


Files produced by the author(s)


  • HAL Id : hal-00621954, version 1


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⟩



Record views


Files downloads