Spatial Component Analysis of MRI data for Alzheimer's Disease Diagnosis: a Bayesian network approach

Spatial Component Analysis of MRI data for Alzheimer's Disease Diagnosis: a Bayesian network approach

This work presents a spatial-component (SC) based approach to aid the diagnosis of Alzheimer's disease (AD) using magnetic resonance images. In this approach, the whole brain image is subdivided in regions or spatial components, and a Bayesian network is used to model the dependencies between a...

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Bibliographic Details
Main Authors: Ignacio eA. Illán, Juan Manuel Gorriz, Javier eRamírez, Anke eMeyer-Baese
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-11-01
Series:Frontiers in Computational Neuroscience
Subjects:
Magnetic Resonance Imaging
bayesian networks
AD diagnosis
Spatial Component Analysis
CAD systems
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00156/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00156/full

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