Comparison of Denoising Techniques Applied on Low-Field MR Brain Images
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 quali...
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| Format: | Conference or Workshop Item |
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2008
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| Online Access: | http://shdl.mmu.edu.my/2886/ |
| _version_ | 1848790176558481408 |
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| author | Ishak, N. F. Gangeh, M. J. Logeswaran, R. |
| author_facet | Ishak, N. F. Gangeh, M. J. Logeswaran, R. |
| author_sort | Ishak, N. F. |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:08:27Z |
| format | Conference or Workshop Item |
| id | mmu-2886 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:08:27Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-28862011-09-21T07:25:09Z http://shdl.mmu.edu.my/2886/ Comparison of Denoising Techniques Applied on Low-Field MR Brain Images Ishak, N. F. Gangeh, M. J. Logeswaran, R. T Technology (General) QA75.5-76.95 Electronic computers. Computer science 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. 2008-08 Conference or Workshop Item NonPeerReviewed 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. http://dx.doi.org/10.1109/CGIV.2008.26 doi:10.1109/CGIV.2008.26 doi:10.1109/CGIV.2008.26 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Ishak, N. F. Gangeh, M. J. Logeswaran, R. Comparison of Denoising Techniques Applied on Low-Field MR Brain Images |
| title | Comparison of Denoising Techniques Applied on Low-Field MR Brain Images |
| title_full | Comparison of Denoising Techniques Applied on Low-Field MR Brain Images |
| title_fullStr | Comparison of Denoising Techniques Applied on Low-Field MR Brain Images |
| title_full_unstemmed | Comparison of Denoising Techniques Applied on Low-Field MR Brain Images |
| title_short | Comparison of Denoising Techniques Applied on Low-Field MR Brain Images |
| title_sort | comparison of denoising techniques applied on low-field mr brain images |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2886/ http://shdl.mmu.edu.my/2886/ http://shdl.mmu.edu.my/2886/ |