Efficient inhomogeneity compensation using fuzzy c -means clustering models

Abstract Intensity inhomogeneity or intensity non-uniformity (INU) is an undesired phenomenon that represents the main obstacle for magnetic resonance (MR) image segmentation and registration methods. Various techniques have been proposed to eliminate or compensate the INU, most of which are embedde...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2012-10, Vol.108 (1), p.80-89
Hauptverfasser:	SZILAGYI, László, SZILAGYI, Sándor M, BENYO, Balázs
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Biological and medical sciences Brain - physiology c-Means clustering Cluster Analysis Computer science control theory systems Cross-disciplinary physics: materials science rheology Data processing. List processing. Character string processing Exact sciences and technology Fuzzy Logic Histogram Humans Image segmentation Intensity inhomogeneity Internal Medicine Investigative techniques, diagnostic techniques (general aspects) Magnetic resonance imaging Materials science Materials testing Medical sciences Memory organisation. Data processing Models, Theoretical Other Pattern recognition. Digital image processing. Computational geometry Physics Radiodiagnosis. Nmr imagery. Nmr spectrometry Software
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