407 Objectives: Traditionally, iterative fitting based kinetic modeling method is the option
commonly used for quantitative analysis of dynamic PET data. Essentially, the kinetic …

539 Objectives: A variety of models are available for the quantitative interpretation of
dynamic PET data. Normally, these models are so sophisticated that the physicians cannot …

1427 Objectives Traditionally, iterative fitting (IF) based compartment models may encounter
problems when handling noisy data like the overfitted compartment parameters and lack of …

477 Objectives Dynamic positron emission tomography (PET) plays an important role in in-
vivo quantification of physiological processes in organs and tissues. In the field of oncology …

P863 Introduction: The physiologically relevant parameters could be extracted through a
time series of 3D PET images. The dynamic processes in the tissue of interest can be …

A variety of compartment models are used for the quantitative analysis of dynamic positron
emission tomography (PET) data. Traditionally, these models use an iterative fitting (IF) …

P1428 Introduction: Multi-pass multi-bed scanning protocol with a conventional PET scanner
introduces sparsity in measurements for time-activity curve (TAC) and the loss of early …

2136 Objectives Parametric imaging is a powerful tool in order to visualize the features of
the tracer kinetics in PET studies, like the trapped FDG (Slope) in regression model, or like …

1388 Objectives: Parametric PET image computes voxel-based physiological kinetic
parameters, which can potentially achieve superior performance compared with a …

Background: An algorithm was programed to facilitate the quantification of physiological
processes in kinetic modeling. In order to do so, it reads in a measured time activity curve …