Inhomogeneity correction of magnetic resonance brain images
Magnetic resonance imaging (MRI) is a widely used non-invasive visualization technique in medical field. The images acquired often suffer from intensity nonuniformity, or inhomogeneity, which hampers automated analysis of the images. This artifact is mainly caused by the radio frequency (RF) coil de...
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2013
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| Online Access: | https://hdl.handle.net/10356/79529 http://hdl.handle.net/10220/8966 |
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sg-ntu-dr.10356-795292020-09-27T20:30:46Z Inhomogeneity correction of magnetic resonance brain images Chua, Zin Yan Vitali Zagorodnov School of Computer Engineering Magnetic resonance imaging (MRI) is a widely used non-invasive visualization technique in medical field. The images acquired often suffer from intensity nonuniformity, or inhomogeneity, which hampers automated analysis of the images. This artifact is mainly caused by the radio frequency (RF) coil design, gradient-driven eddy currents, and acquisition pulse sequences. In this research, we are focusing on techniques to correct the intensity inhomogeneity by performing a coarse preliminary segmentation on the MR images and then use the segmentation result to estimate the bias field. [3rd Award] 2013-01-31T01:15:30Z 2019-12-06T13:27:31Z 2013-01-31T01:15:30Z 2019-12-06T13:27:31Z 2007 2007 Student Research Poster Chua, Z. Y. (2007, March). Inhomogeneity correction of magnetic resonance brain images. Presented at Discover URECA @ NTU poster exhibition and competition, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/79529 http://hdl.handle.net/10220/8966 en © 2007 The Author(s). application/pdf |
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Magnetic resonance imaging (MRI) is a widely used non-invasive visualization technique in medical field. The images acquired often suffer from intensity nonuniformity, or inhomogeneity, which hampers automated analysis of the images. This artifact is mainly caused by the radio frequency (RF) coil design, gradient-driven eddy currents, and acquisition pulse sequences. In this research, we are focusing on techniques to correct the intensity inhomogeneity by performing a coarse preliminary
segmentation on the MR images and then use the segmentation result to estimate the bias field. [3rd Award] |
| author2 |
Vitali Zagorodnov |
| author_facet |
Vitali Zagorodnov Chua, Zin Yan |
| format |
Student Research Poster |
| author |
Chua, Zin Yan |
| spellingShingle |
Chua, Zin Yan Inhomogeneity correction of magnetic resonance brain images |
| author_sort |
Chua, Zin Yan |
| title |
Inhomogeneity correction of magnetic resonance brain images |
| title_short |
Inhomogeneity correction of magnetic resonance brain images |
| title_full |
Inhomogeneity correction of magnetic resonance brain images |
| title_fullStr |
Inhomogeneity correction of magnetic resonance brain images |
| title_full_unstemmed |
Inhomogeneity correction of magnetic resonance brain images |
| title_sort |
inhomogeneity correction of magnetic resonance brain images |
| publishDate |
2013 |
| url |
https://hdl.handle.net/10356/79529 http://hdl.handle.net/10220/8966 |
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1681059422259904512 |