Publication
Title
Optimization of temporal basis functions in dynamic PET imaging
Author
Abstract
In this paper we introduce and evaluate a completely data-driven method to optimize both the linear expansion coefficients and the used temporal basis functions in dynamic PET reconstruction from list-mode data. We present the first results of our method using simulated 2D PET data. The time activity curves are modeled as a conic combination of B-splines. The B-splines are optimized with respect to their knot locations. We have combined the newly introduced method with our previously developed dynamic MLEM algorithm in order to further improve the likelihood. The results show that even one iteration of our newly developed algorithm can drastically increase the likelihood and the resulting images better represent the underlying TACs.
Language
English
Source (journal)
Nuclear instruments and methods in physics research: A: accelerators, spectrometers, detectors and associated equipment
Publication
2006
Volume/pages
569:2(2006), p. 425-428
ISI
000243241300061
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 15.11.2011
Last edited 07.09.2017