Cita:
2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011. Pp. 2986-2972
ISBN:
978-1-4673-0118-3
ISSN:
1082-3654
DOI:
10.1109/NSSMIC.2011.6152530
Patrocinador:
This work was supported from
Comunidad de Madrid (ARTEMIS Spanish Ministry of
Science and Innovation (ENTEPRASE Grant, PSE-300000-2009-5) and
PRECISION grant IPT-300000-2010-3, UCM (Grupos UCM, 910059), and
european regional funds and CPAN, Centro de Fisica de Particulas,
Astroparticulas y Nuclear (CSD-2007-00042@Ingenio2010-12). This study
has been (partially) funded by CDTI under the CENIT Programme (AM IT
Project). Part of the calculations of this work was performed in the "Cluster
de Calculo de Alta Capacidad para Tecnicas Fisicas" funded in part by UCM
and in part by UE with European regional funds"
Quantification of tracer kinetics is often accomplished
from time-activity curves of a region of interest of dynamic PET
images. The choice of reconstruction method may affect the timeactivity
curves and hence the estimated kinetic parameters.
Several studies Quantification of tracer kinetics is often accomplished
from time-activity curves of a region of interest of dynamic PET
images. The choice of reconstruction method may affect the timeactivity
curves and hence the estimated kinetic parameters.
Several studies have shown that statistical-iterative methods, due
to non-negativity constrains, may exhibit a quantification bias in
low activity regions and thus these methods, in spite of the better
image quality they provide, are seldom used to estimate kinetic
constants. By means of realistic dynamic simulations, we have
investigated the quantitative properties of statistical-iterative
(OS EM, both 2D and 3D) and FBP reconstruction methods and
the accuracy of the kinetic parameters derived from images
reconstructed with each algorithm. We focus on the procedure to
fit kinetic constants to data. Our results show that, with
appropriate measures to account for quantification bias, iterative
reconstructions may be suited to derive kinetic constants from
dynamic PET acquisitions.[+][-]
Nota:
Proceeding of: 2011 Nuclear Science Symposium and Medical Imaging Conference, Valencia, España, 23-29 October, 2011
