| Correction of bias field in MR images using singularity function analysis. | |
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MedLine Citation:
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PMID: 16092338 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A new approach for correcting bias field in magnetic resonance (MR) images is proposed using the mathematical model of singularity function analysis (SFA), which represents a discrete signal or its spectrum as a weighted sum of singularity functions. Through this model, an MR image's low spatial frequency components corrupted by a smoothly varying bias field are first removed, and then reconstructed from its higher spatial frequency components not polluted by bias field. The thus reconstructed image is then used to estimate bias field for final image correction. The approach does not rely on the assumption that anatomical information in MR images occurs at higher spatial frequencies than bias field. The performance of this approach is evaluated using both simulated and real clinical MR images. |
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Authors:
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Jianhua Luo; Yuemin Zhu; Patrick Clarysse; Isabelle Magnin |
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Publication Detail:
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Type: Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on medical imaging Volume: 24 ISSN: 0278-0062 ISO Abbreviation: IEEE Trans Med Imaging Publication Date: 2005 Aug |
Date Detail:
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Created Date: 2005-08-11 Completed Date: 2005-11-03 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8310780 Medline TA: IEEE Trans Med Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 1067-85 Citation Subset: IM |
Affiliation:
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Department of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China. jhluo@sjtu.edu.cn |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Artifacts* Brain / anatomy & histology* Electromagnetic Fields Humans Image Enhancement / methods* Image Interpretation, Computer-Assisted / methods* Magnetic Resonance Imaging / methods* Reproducibility of Results Sensitivity and Specificity |
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