Publication
Title
Reconstruction of dynamic PET data using spatio-temporal wavelet l(1) regularization
Author
Abstract
Tomographic reconstruction from PET data is an W-posed problem that requires regularization. Recently, Daubechies et al. [1] proposed an l(1) regularization of the wavelet coefficients that can be optimized using iterative thresholding schemes. In this paper, we extend this approach for the reconstruction of dynamic (spatio-temporal) PET data. Instead of using classical wavelets in the temporal dimension, we introduce exponential-spline wavelets that are specially tailored to model time activity curves (TACs) in PET. We show the usefulness of spatio-temporal regularization and the superior performance of E-spline wavelets over conventional Battle-Lemarie wavelets for a 1-D TAC fitting experiment and a tomographic reconstruction experiment.
Language
English
Source (journal)
Proceedings of the ... Annual international conference of the IEEE engineering in medicine and biology society. - New York (N.Y.)
Publication
New York (N.Y.) : IEEE, 2007
ISSN
1094-687X
Volume/pages
(2007), p. 6540-6543
ISI
000253467005165
UAntwerpen
Faculty/Department
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 27.03.2013
Last edited 28.03.2017