Hemodynamic parameter estimation from dynamic contrast-enhanced magnetic resonance imaging with tikhonov regularization method

Author

Li, Y. ; Gao, M. ; He, R. ; Ren, Y. ; Liu, H. ; Guo, L. ; Xu, G.

Author_Institution

Dept. of Biomed. Enginee, Hebei Univ. of Technol., Tianjin, China

fYear

2015

fDate

11-15 May 2015

Firstpage

1

Lastpage

1

Abstract

The Tikhonov method is evaluated in this paper for hemodynamic parameters estimation from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The DCE-MRI is used to estimate functional or metabolic parameters which are critical in the diagnosis and treatment of patients with cerebrovascular disease and other brain disorders. The effects of signal-noise ratio (SNR) and tracer delay are analyzed. Simulation results show that the deviations of the estimate cerebral blood flow (CBF) values are little in presence of tracer delay, and that SNR has less influence on estimating CBFs.

Keywords

biomedical MRI; brain; diseases; haemodynamics; neurophysiology; DCE-MRI; Tikhonov regularization; brain disorders; cerebral blood flow; cerebrovascular disease; dynamic contrast-enhanced magnetic resonance imaging; functional parameters; hemodynamic parameter estimation; metabolic parameters; patient diagnosis; patient treatment; signal-noise ratio; tracer delay; Delays; Hemodynamics; Magnetic resonance imaging; Mathematical model; Signal to noise ratio; Solid modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Magnetics Conference (INTERMAG), 2015 IEEE

Conference_Location

Beijing

Print_ISBN

978-1-4799-7321-7

Type

conf

DOI

10.1109/INTMAG.2015.7157197

Filename

7157197