Paper Info
Title
Iterative segmentation and motion correction for dynamic PET images based on radioactive tracer kinetics
Abstract
We propose a novel motion correction approach for dynamic emission tomography images that takes advantage of the underlying compartmental models of tracer kinetics. Our algorithm uses a simultaneous segmentation registration paradigm. The key idea of our approach is that, unlike the standard frame-by-frame (FbF) based registration methods, we avoid choosing a reference frame and essentially create a reference frame for each time step. The references are generated by assigning time activity curves based on the estimated kinetic-modeling parameters to the different regions of the segmentation output. We evaluate the goodness of our method compared with the FbF-based registration approach using medical images with known motion corruption parameters. The results indicate superior performance of our method in terms of the accurate estimation of the motion and the kinetic parameters.
Year
DOI
Venue
2012
10.1109/MMBIA.2012.6164761
Mathematical Methods in Biomedical Image Analysis
Keywords
Field
DocType
image registration,image segmentation,iterative methods,medical image processing,positron emission tomography,radioactive tracers,compartmental models,corruption parameters,dynamic PET imaging,dynamic emission tomography imaging,iterative segmentation,kinetic-modeling parameters,motion correction,radioactive tracer kinetics,simultaneous segmentation registration paradigm,standard frame-frame based registration methods,time activity curves
Reference frame,Computer vision,Iterative method,Segmentation,Computer science,Image segmentation,Tomography,Radioactive tracer,Artificial intelligence,Motion correction,Image registration
Conference
ISBN
Citations 
PageRank 
978-1-4673-0353-8
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Hengameh Mirzaalian100.34
Ahmed Saad241.17
Ghassan Hamarneh3212.33