Title
Reconstruction of dynamic PET data using spatio-temporal wavelet l(1) regularization
Author
Faculty/Department
Faculty of Medicine and Health Sciences
Publication type
article
Publication
New York (N.Y.) :IEEE ,
Subject
Physics
Engineering sciences. Technology
Computer. Automation
Source (journal)
Proceedings of the ... Annual international conference of the IEEE engineering in medicine and biology society. - New York (N.Y.)
Volume/pages
(2007) , p. 6540-6543
ISSN
1094-687X
ISI
000253467005165
Carrier
E
Target language
English (eng)
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.
E-info
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