Comparison of Denoising Techniques Applied on Low-Field MR Brain Images

Ishak, N. F. and Gangeh, M. J. and Logeswaran, R. (2008) Comparison of Denoising Techniques Applied on Low-Field MR Brain Images. In: 5th International Conference on Computer Graphics, Imaging and Visualization (CGIV), 26-28 AUG 2008, Penang, MALAYSIA.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/CGIV.2008.26

Abstract

Low-field Magnetic Resonance Imaging (MRI) is vital for sensitive surgery to allow real-time imaging in the operation theatre. In this paper, we demonstrate implementations of denoising algorithms on, low-field MR brain images. A major concern in denoising low-field MR brain images is the poor quality images secondary to a worsening signal-to-noise ratio (SNR) compared with the high-field MRI scanners. This paper gives some useful insight on the application of pre-processing techniques towards segmenting and labeling the brain images. Promising results are reported for anisotropic diffusion filtering.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 21 Sep 2011 07:25
Last Modified: 21 Sep 2011 07:25
URI: http://shdl.mmu.edu.my/id/eprint/2886

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