DocumentCode :
3424807
Title :
2D IIR filter for parallel magnetic resonance image reconstruction
Author :
Chen, Zhaolin ; Zhang, Jingxin ; Yang, Ran ; Kellman, Peter ; Johnston, Leigh A. ; Egan, Gary F.
Author_Institution :
Howard Florey Inst., VIC, Australia
fYear :
2009
fDate :
9-11 Dec. 2009
Firstpage :
1792
Lastpage :
1795
Abstract :
Accelerated parallel MRI has been widely used in medical research and clinical diagnoses. This paper presents a two dimensional (2D) infinite impulse response (IIR) model of inverse filter to replace the finite impulse response model currently used in GRAPPA class image reconstruction methods. The IIR model better characterizes the correlation of k-space data points and better approximates the inversion of parallel imaging process. The experiments on in vivo accelerated cardiac imaging show that the proposed method significantly reduces reconstruction errors compared with conventional 2D GRAPPA method, particularly at the high acceleration rates.
Keywords :
IIR filters; biomedical MRI; image reconstruction; patient diagnosis; 2D IIR filter; GRAPPA class image reconstruction methods; accelerated parallel MRI; clinical diagnoses; k-space data point correlation; parallel imaging process; parallel magnetic resonance image reconstruction; two dimensional infinite impulse response model; vivo accelerated cardiac imaging; Acceleration; Biomedical imaging; Finite impulse response filter; IIR filters; Image reconstruction; Inverse problems; Magnetic resonance; Magnetic resonance imaging; Magnetic separation; Medical diagnostic imaging; 2D GRAPPA; GRAPPA; IIR GRAPPA; parallel MRI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2009. ICCA 2009. IEEE International Conference on
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-4706-0
Electronic_ISBN :
978-1-4244-4707-7
Type :
conf
DOI :
10.1109/ICCA.2009.5410221
Filename :
5410221
Link To Document :
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