DocumentCode :
3222540
Title :
Super resolution image reconstruction in parallel magnetic resonance imaging
Author :
Lu, Yanhong ; Yang, Ran ; Zhang, Jingxin ; Zhang, Cishen
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guangzhou, China
fYear :
2010
fDate :
9-11 June 2010
Firstpage :
761
Lastpage :
766
Abstract :
In clinical applications, images with high resolution are often desired and required which may provide more details for doctors to make precise diagnosis. In this paper, an approach is proposed to increase image resolution of parallel magnetic resonance imaging. Since different receiver coils have different sensitivity profiles, different receiver channel models are constructed to map the original image information to low resolution images of different channels. Based on these models, the degradation function of every low resolution image can be obtained to compute the high resolution image iteratively using the well known super resolution approach. An in-vivo experiment is also provided to illustrate the feasibility and robustness of the proposed approach.
Keywords :
biomedical MRI; image reconstruction; image resolution; medical image processing; doctors; high resolution images; image information; low resolution image; parallel magnetic resonance imaging; super resolution image reconstruction; Automatic control; Automation; Biomedical imaging; Coils; Degradation; Image reconstruction; Image resolution; Magnetic resonance imaging; Medical diagnostic imaging; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location :
Xiamen
ISSN :
1948-3449
Print_ISBN :
978-1-4244-5195-1
Electronic_ISBN :
1948-3449
Type :
conf
DOI :
10.1109/ICCA.2010.5524456
Filename :
5524456
Link To Document :
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