TECHNIQUE AUTOMATISÉE DE CLASSIFICATION POUR LA MALADIE D'ALZHEIMER UTILISANT UN SIGNAL D'IMAGERIE PAR RÉSONANCE MAGNÉTIQUE PROVENANT D'UN CONTOUR DE LA ZONE VENTRICULAIRE DU CERVEAU
Department of Biotechnology;National Brain Research Centre
发明人:
申请号：
EP09824502.0
公开号：
EP2355703B1
申请日:
2009.02.10
申请国别(地区):
EP
年份:
2018
代理人:
摘要：
The invention relates to a fully automated screening, diagnosis and classification technique for Alzheimer's disease using magnetic resonance imaging signals from the ventricular zone contour of the brain to get a fundamental index of brain deterioration comprising the steps: -obtaining a gray scale MRI image of the brain region； -applying a contour edge-detecting algorithm to the image； -employing a grid covering method for calculating a first order metric index of ventricular zone contour； -superimposing metric square grids of increasing edge length to the binary contour image and counting the metric grid squares； -plotting the logs of metric grid squares against the logs of edge lengths, wherein the gradient of the plot is the linear topological metric index.
