The Application of Magnetic Resonance Perfusion Imaging in the Estimation of Brain Function Using SVD Method

Author

Li, Ying ; Ma, Dongmin ; He, Renjie ; Rao, Liyun ; Guo, Lei ; Chen, Jie ; Xu, Guizhi

Author_Institution

Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China

Volume

48

Issue

11

fYear

2012

Firstpage

2850

Lastpage

2853

Abstract

MR perfusion imaging can be used to estimate parameters indicating the metabolic process, including cerebral blood flow (CBF). Specifically singular value decomposition (SVD) method is applied in this paper to obtain CBF with a predefined conventional arterial input function (AIF), and the effects of threshold and tracer delay are investigated. While the simulation results show that SVD method can estimate CBF with good accuracy by using different thresholds for different flow values, the method is found to be sensitive to tracer delay. A delay correction scheme is advocated, where CBF is determined by SVD after time-shifting of the tracer concentration curve. With the correction the simulation results are considerably improved in the flow estimation.

Keywords

biomedical MRI; blood; blood vessels; brain; haemorheology; medical signal processing; signal denoising; singular value decomposition; ίow estimation; SVD method; brain function estimation; cerebral blood flow; conventional arterial input function; delay correction scheme; magnetic resonance perfusion imaging application; metabolic process; signal denoising; singular value decomposition; time shifting; tracer concentration curve; tracer delay threshold effects; Accuracy; Blood; Delay; Estimation; Magnetic resonance imaging; Matrix decomposition; CBF estimation; MR perfusion imaging; SVD method; simulation experiments; tracer delay correction;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2012.2196993

Filename

6332593