DocumentCode :
2718690
Title :
Image reconstruction from phased-array MRI data based on multichannel blind deconvolution
Author :
She, Huajun ; Chen, Rong-Rong ; Liang, Dong ; Chang, Yuchou ; Ying, Leslie
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
fYear :
2010
fDate :
14-17 April 2010
Firstpage :
760
Lastpage :
763
Abstract :
In this paper we consider image reconstruction from multichannel phased array MRI data without prior knowledge of the coil sensitivity functions. A new framework based on multichannel blind deconvolution (MBD) is developed for joint estimation of the image function and the sensitivity functions in k-space. By exploiting the smoothness of the estimated functions in the spatial domain, we develop a regularization approach in conjunction with MBD to obtain good reconstruction of the image function. Experimental results using simulated and real data demonstrate that the proposed reconstruction algorithm can better removes the sensitivity weighting in the reconstructed images compared to the sum-of-squares (SoS) approach.
Keywords :
biomedical MRI; blind source separation; brain; deconvolution; image reconstruction; medical image processing; neurophysiology; brain; coil sensitivity functions; image function; image reconstruction; k-space sensitivity functions; multichannel blind deconvolution; phased-array MRI data; regularization approach; spatial domain; sum-of-squares approach; Background noise; Cities and towns; Coils; Convolution; Deconvolution; Equations; Image reconstruction; Magnetic resonance imaging; Phase estimation; Phased arrays; Phased array MRI; image restoration; multichannel deconvolution; regularization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
ISSN :
1945-7928
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2010.5490063
Filename :
5490063
Link To Document :
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