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A Review of Methods for Correction of Intensity Inhomogeneity in MRI

IEEE Transactions on Medical Imaging · 2007 · Vol. 26(3) · pp. 405–421
Uro VovkFranjo PernušB. Likar

Abstract

Medical image acquisition devices provide a vast amount of anatomical and functional information, which facilitate and improve diagnosis and patient treatment, especially when supported by modern quantitative image analysis methods. However, modality specific image artifacts, such as the phenomena of intensity inhomogeneity in magnetic resonance images (MRI), are still prominent and can adversely affect quantitative image analysis. In this paper, numerous methods that have been developed to reduce or eliminate intensity inhomogeneities in MRI are reviewed. First, the methods are classified according to the inhomogeneity correction strategy. Next, different qualitative and quantitative evaluation approaches are reviewed. Third, 60 relevant publications are categorized according to several features and analyzed so as to reveal major trends, popularity, evaluation strategies and applications. Finally, key evaluation issues and future development of the inhomogeneity correction field, supported by the results of the analysis, are discussed.

Advanced MRI Techniques and ApplicationsMedical Imaging Techniques and ApplicationsMedical Image Segmentation TechniquesIntensity (physics)Computer scienceMagnetic resonance imagingArtificial intelligenceComputer visionPhysicsNuclear magnetic resonanceRadiologyOpticsMedicine

MeSH terms

AlgorithmsImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance ImagingPeriodicals as TopicTechnology Assessment, BiomedicalArtifacts
Citations
834
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22.79
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104
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References
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IEEE Transactions on Medical Imaging · 1999 · 796 citations
A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
IEEE Transactions on Medical Imaging · 2002 · 1,785 citations
Voxel-Based Morphometry—The Methods
NeuroImage · 2000 · 8,608 citations
Automated model-based tissue classification of MR images of the brain
IEEE Transactions on Medical Imaging · 1999 · 1,028 citations
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