Context Dependent Fuzzy Associated Statistical Model for Intensity Inhomogeneity Correction From Magnetic Resonance Images

In this paper, a novel context-dependent fuzzy set associated statistical model-based intensity inhomogeneity correction technique for magnetic resonance image (MRI) is proposed. The observed MRI is considered to be affected by intensity inhomogeneity and it is assumed to be a multiplicative quantit...

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Veröffentlicht in:	IEEE journal of translational engineering in health and medicine 2019-01, Vol.7, p.1-9
Hauptverfasser:	Subudhi, Badri Narayan, Veerakumar, T., Esakkirajan, S., Ghosh, Ashish
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation Context modeling Estimation Fields (mathematics) fuzzy clustering Fuzzy sets Hidden Markov models Image segmentation Inhomogeneity intensity inhomogeneity Iterative methods Magnetic resonance imaging Markov chains Markov random field maximum a posteriori probability Nonhomogeneous media Performance evaluation Searching Statistical analysis Statistical models Task analysis
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