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首页> 外文会议>International conference on emerging trends and advances in electrical engineering and renewable energy;ETAEERE >Atrophy Measure of Brain Cortex to Detect Alzheimer's Disease from Magnetic Resonance Images
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Atrophy Measure of Brain Cortex to Detect Alzheimer's Disease from Magnetic Resonance Images

机译：从磁共振图像检测阿尔茨海默氏病的大脑皮层萎缩措施

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In medical science, diagnosis of Alzheimer's disease is mainly done manually by expert radiologist. In this paper, an automatic approach to detect Alzheimer's disease using cortex thickness is analyzed. The cortex of brain is extracted and thickness is measured from magnetic resonance images. For experiment, 20 images of control subjects, 20 with mild cognitive impairment and 20 with Alzheimer's disease, are taken from Alzheimer's Disease Neuroimaging Initiative database. Initially, segmentation of cortex, from T1-weighted coronal magnetic resonance image, is done using genetic algorithm-based region growing technique. Then the thickness of the cortex is measured using distance transform. The experiment gives 100, 80, and 85% recognition accuracy for normal, mild cognitive impairment, and Alzheimer's disease, respectively.
机译：在医学科学中，阿尔茨海默氏病的诊断主要由专家放射科医生手动完成。本文分析了一种利用皮层厚度检测阿尔茨海默氏病的自动方法。从磁共振图像中提取大脑皮层并测量厚度。为了进行实验，从阿尔茨海默氏病神经影像学倡议数据库中获取了20名对照受试者的图像，其中20名患有轻度认知障碍，20名患有阿尔茨海默氏病。最初，使用基于遗传算法的区域生长技术从T1加权冠状磁共振图像中进行皮质分割。然后使用距离变换测量皮质的厚度。该实验对正常，轻度认知障碍和阿尔茨海默氏症的识别率分别为100％，80％和85％。

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