NDLI: Learning large number of local statistical models via variational Bayesian inference for brain voxel classification in magnetic resonance images

Content Provider	IEEE Xplore Digital Library
Author	Yong Xia Yanning Zhang
Copyright Year	2014
Description	Author affiliation: Shaanxi Key Lab. of Speech & Image Inf. Process., Northwestern Polytech. Univ., Xi'an, China (Yong Xia; Yanning Zhang)
Abstract	As an essential step in brain studies, measuring the distribution of major brain tissues, including gray matter, white matter and cerebrospinal fluid (CSF), using magnetic resonance imaging (MRI) has attracted extensive research efforts over the past years. Many brain tissue differentiation methods resulted from these efforts are based on the finite statistical mixture model, which however, in spite of its computational efficiency, is not strictly followed due to the intrinsically limited quality of MRI data and may lead to less accurate results. In this paper, a novel large-scale variational Bayesian inference (LS-VBI) learning algorithm is proposed for automated brain MRI voxels classification. To cope with the complexity and dynamic nature of MRI data, this algorithm uses a large number of local statistical models, in each of which all statistical parameters are assumed to be random variables sampled from conjugate prior distributions. Those models are learned using variational Bayesian inference and combined to predict the class label of each brain voxel. This algorithm has been evaluated against several state-of-the-art brain tissue segmentation methods on both synthetic and clinical brain MRI data sets. Our results show that the proposed algorithm can classify brain voxels more effectively and provide more precise distribution of major brain tissues.
Starting Page	59
Ending Page	64
File Size	1979944
Page Count	6
File Format	PDF
e-ISBN	9781479953530
DOI	10.1109/SPAC.2014.6982657
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Variational Bayes inference Image segmentation Magnetic resonance imaging Probabilistic brain atlas Brain models Inference algorithms Data models Classification algorithms
Content Type	Text
Resource Type	Article

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