Title :
Myocardial perfusion assessment by use of system identification method in a one-compartment model
Author :
Kocher, M. ; Daire, J.L. ; Thevenaz, Philippe ; Schindler, T. ; Keller, P.F. ; Didier, D. ; Vallee, J.P.
Author_Institution :
EPFL, Lausanne
Abstract :
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.
Keywords :
biomedical MRI; biomedical measurement; cardiovascular system; haemorheology; image registration; medical image processing; muscle; cardiovascular magnetic resonance; coronary artery disease patients; hypertrophic obstructive cardiomyopathy patients; image registration; motion related artifacts correction; myocardial perfusion assessment; one-compartment model; partial volume effect; spatial resolution; system identification method; Cardiology; Data analysis; Image motion analysis; Magnetic analysis; Magnetic resonance; Motion analysis; Myocardium; Signal analysis; Signal processing; System identification; Aged; Cardiomyopathy, Hypertrophic; Coronary Artery Disease; Coronary Circulation; Female; Heart; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Male; Middle Aged; Models, Cardiovascular; Myocardial Infarction; Perfusion;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353337
