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首页> 外文会议>International Conference on Multimedia, Signal Processing and Communication Technologies >Automated segmentation of gray and white matter regions in brain MRI images for computer aided diagnosis of neurodegenerative diseases
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Automated segmentation of gray and white matter regions in brain MRI images for computer aided diagnosis of neurodegenerative diseases

机译：自动分割脑部MRI图像中的灰色和白色物质区域，用于计算机辅助诊断神经退行性疾病

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摘要

This work presents a framework for neurological disease prediction and decision making for patients of cognitive impairment, dementia, or Alzheimer's disease based on automatic segmentation of gray and white matter regions as anatomical features in brain MRI images. Changes in the size or volume of these regions can be correlated to changes in cerebral structure in patients with Alzheimer's, dementia, cognitive impairment, or other neurological disorders. Specifically, the thickness of the cortex plays an important role in determining the severity level of dementia or cognitive impairment. The work herein presents a method using the segmentation of gray and white matter from the brain MRI slices of the patient as part of the development of a software platform based computational tool for aiding neurologists in assessing anatomical and functional changes in cerebral structure from brain MRI scans of neurological patients. The aforementioned tool can be implemented as a software package that can be installed in the computational platforms in the neurology department or division of hospitals. In its final implementation and deployment, this tool would predict neurological disease type and severity after automatically processing the brain MRI or CT images with the above-mentioned algorithms, and displaying the highlighted gray and white matter regions in the brain CT or MRI images.
机译：这项工作提出了一个基于灰阶和白质区域自动分割作为脑部MRI图像解剖特征的认知障碍，痴呆或阿尔茨海默氏病患者神经病学疾病预测和决策的框架。这些区域的大小或体积的变化可能与阿尔茨海默氏症，痴呆，认知障碍或其他神经系统疾病患者的大脑结构变化相关。具体而言，皮质的厚度在确定痴呆或认知障碍的严重程度中起重要作用。本文的工作提出了一种使用从患者的脑部MRI切片中分离出的灰色和白色物质进行分割的方法，作为基于软件平台的计算工具开发的一部分，该工具可帮助神经科医生评估来自脑部MRI扫描的大脑结构的解剖和功能变化神经病患者。前述工具可以被实现为软件包，该软件包可以被安装在神经病科或医院部门的计算平台中。在其最终实施和部署中，此工具将在使用上述算法自动处理脑部MRI或CT图像并在脑部CT或MRI图像中显示突出显示的灰白色区域后，预测神经系统疾病的类型和严重程度。

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