Cardiac PET Imaging of 18F-FDG metabolism: Study of healthy and infarcted hearts of rats

This paper, considers the evolution of a method presented previously by authors to correct for cross contamination effect on the dynamic image sequences and shows how this development allows for a robust voxel by voxel implementation yielding parametric images for healthy and unhealthy subjects. Our...

Full description

Saved in:
Bibliographic Details
Published in:2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2013, Vol.2013, p.2481-2484
Main Authors: Mabrouk, R., Dubeau, F., Bentabet, L.
Format: Article
Language:English
Subjects:
Bayes Rule
Blood
Contamination
Heart
Input Function
Kinetic Modeling
PET
Pollution measurement
Positron emission tomography
Rats
Sugar
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper, considers the evolution of a method presented previously by authors to correct for cross contamination effect on the dynamic image sequences and shows how this development allows for a robust voxel by voxel implementation yielding parametric images for healthy and unhealthy subjects. Our approach is based on the decomposition of image pixel intensity into blood and tissue components using Bayesian statistics. The method uses an a priori knowledge of the probable distribution of blood and tissue in the images. Likelihood measures are computed by a General Gaussian Distribution (GGD) model. Bayes' rule is then applied to compute weights that account for the concentrations of the radiotracer in blood and tissue and their relative contributions in each image pixel. We tested the method on a set of dynamic cardiac 18 F-fluoro-deoxy-d-glucose PET of healthy rats and unhealthy rats. The results show the benefit of our correction on the generation of parametric images of myocardial metabolic rates for glucose (MMRG).
ISSN:1094-687X
1558-4615
2694-0604
DOI:10.1109/EMBC.2013.6610043