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READY AUTOMATED SCREENING, DIAGNOSIS amp; CLASSIFICATION TECHNIQUE FOR ALZHEIMER'S DISEASE USING MAGNETIC RESONANCE IMAGING SIGNAL FROM VENTRICULAR ZONE CONTOUR OF BRAIN
READY AUTOMATED SCREENING, DIAGNOSIS amp; CLASSIFICATION TECHNIQUE FOR ALZHEIMER'S DISEASE USING MAGNETIC RESONANCE IMAGING SIGNAL FROM VENTRICULAR ZONE CONTOUR OF BRAIN
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机译:利用脑室区轮廓线的磁共振成像信号对阿尔茨海默氏病进行自动筛分,诊断和分类的现成技术
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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.
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