Title :
ARMA regularization of cardiac perfusion modeling
Author :
Batchelor, Philip ; Chiribiri, Amedeo ; Nooralipour, Niloufar Zarinabad ; Cvetkovic, Zoran
Author_Institution :
Div. of Imaging Sci., King´´s Coll. London, London, UK
Abstract :
Cardiac perfusion modelling using ARMA systems is studied. ARMA is a generalization of a recently proposed exponential approximation technique, which was shown to exhibit better performance than the widely used truncated singular value decomposition method. Experiments demonstrate that ARMA achieves results as accurate as the those obtained using the exponential approximation, but it its at the same time less sensitive to additive noise and model order selection.
Keywords :
biomedical MRI; cardiology; haemorheology; medical image processing; physiological models; singular value decomposition; ARMA regularization; additive noise; cardiac perfusion modeling; exponential approximation technique; model order selection; truncated singular value decomposition; Additive noise; Blood flow; Convolution; Deconvolution; Educational institutions; Fluid flow measurement; Magnetic resonance imaging; Myocardium; Noise robustness; Singular value decomposition; ARMA; Cardiac perfusion; exponential approximation; robustness;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495154