Cardiovascular magnetic resonance has been shown to provide high data quality for myocardial perfusion assessment. However, to analyze the perfusion data, some signal processing and modeling is needed to correct for motion related artifacts and limited spatial resolution. This study describes a method based on system identification, allowing, after a first step of image registration, to integrate and correct the partial volume effect in the myocardium perfusion quantification. This method is then applied to patients with coronary artery disease or hypertrophic obstructive cardiomyopathy.
Title
Myocardial perfusion assessment by use of system identification method in a one-compartment model
Date
2007-08
Published in
Proceedings of 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 22-26 August 2007, Lyon, France
Volume
pp. 4492-4495
Publisher
Lyon, France, 22-26 August 2007
Pagination
4 p.
Presented at
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, 2007-08-22, 2007-08-26
ISBN
978-1-4244-0787-3
ISSN
1557-170X
Paper type
short paper
Faculty
Ingénierie et Architecture
School
HEPIA - Genève
Institute
inSTI - Institut des Sciences et Technologies industrielles