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.
Titel
Myocardial perfusion assessment by use of system identification method in a one-compartment model
Datum
2007-08
Veröffentlich in
Proceedings of 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 22-26 August 2007, Lyon, France
Band
pp. 4492-4495
Verlag
Lyon, France, 22-26 August 2007
Umfang
4 p.
Vorgestellt auf
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
Papiertyp
short paper
Domaine
Ingénierie et Architecture
Ecole
HEPIA - Genève
Institut
inSTI - Institut des Sciences et Technologies industrielles