Maximum Evidence Method for classification of brain tissues in MRI

Within the family of statistical image segmentation methods, those based on Bayesian inference have been commonly applied to classify brain tissues as obtained with Magnetic Resonance Imaging (MRI). In this framework we present an unsupervised algorithm to account for the main tissue classes that co...

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Detalles Bibliográficos
Autores principales: Isoardi, R.A., Oliva, D.E., Mato, G.
Formato: JOUR
Materias:
Bayesian estimation
Image segmentation
Magnetic Resonance Imaging
Partial volume effect
Approximate algorithms
Bayesian estimations
Bayesian inference
Brain phantoms
Brain tissue
Brain volume
Discrete models
Error prediction
Figure of merit
Mean absolute error
Measured data
Model optimization
MR images
Partial volumes
Single voxel
Statistical image segmentation
Unsupervised algorithms
Bayesian networks
Brain
Histology
Inference engines
Probability density function
Resonance
Three dimensional
Tissue
Magnetic resonance imaging
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01678655_v32_n1_p12_Isoardi
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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