DocumentCode :
3011555
Title :
Super Resolution of MRI Using Improved IBP
Author :
Yan, Ziye ; Lu, Yao
Author_Institution :
Beijing Lab. of Intell. Inf. Technol., Beijing Inst. of Technol., Beijing, China
Volume :
1
fYear :
2009
fDate :
11-14 Dec. 2009
Firstpage :
643
Lastpage :
647
Abstract :
An approach for improving the z-axis resolution of MRI using super resolution (SR) technology in the post processing step is proposed. The 2D multi-slice MRI is often anisotropic, the z-resolution lower than the in plane resolution. And the isotropic is necessary for certain diagnostic while the truly isotropic image is hardly obtained. In this case the super resolution is an efficiency post-processing approach to obtain the demand image. In this method, the imaging volume is acquired multiple times with small spatial shifts in z-axis. We use an algorithm which introduces the Papoulis-Gerchberg extrapolation within the Iterative back-projection method to process the shift image serials. Experiments demonstrate that better edge definition in the slice select direction and signal to noise efficiency are obtained.
Keywords :
backpropagation; biomedical MRI; extrapolation; iterative methods; medical image processing; 2D multislice MRI; IBP algorithm; MRI post processing; MRI resolution improvement; MRI z-axis resolution; Papoulis-Gerchberg extrapolation; iterative back projection algorithm; super resolution technology; z-axis spatial shifts; Back; Biomedical imaging; Computational intelligence; Image coding; Image resolution; Kernel; Magnetic resonance imaging; Signal resolution; Spatial resolution; Strontium; MRI; Super resolution; post processing; slice thickness; z-resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
Type :
conf
DOI :
10.1109/CIS.2009.59
Filename :
5375850
Link To Document :
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