A Local/Regional Based CAD System for Early Diagnosis of Alzheimer's Disease Using sMRI Scans

F. E. El-Gamal, M. Elmogy, A. Khalil, M. Ghazal, Hassan H. Soliman, A. Atwan, R. Keynton, G. Barnes, A. El-Baz
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Abstract

Alzheimer's disease (AD) is one of the neurodegenerative diseases, an irreparable one, that targets the central nervous system and causes dementia. During its progression, the disease goes through a number of stages where the diagnosis of the disease at its early stage is highly recommended. Despite this recommendation, accomplishing this diagnosis task faces a number of obstacles including the variable impact of the disease on its sufferers. This paper mainly aims to assist in the early diagnosis process of AD through introducing a brain regional based computer-aided diagnosis (CAD) system, using structural magnetic resonance imaging (sMRI), that goes through four main stages: preprocessing, brain labeling, extracting the discriminant features, as well as diagnosing. The novelty of the our work is to offer a local/regional diagnosis to serve the subject-dependent effect of the disease followed by a global diagnosis with an overall promising performance as evaluated with the related work. The experimental results show accuracy of 96.6%, specificity of 100%, and sensitivity of 94.25%. Validating our system with the related work and some well-known classifiers shows promising results in addressing this research point.
基于sMRI扫描的阿尔茨海默病早期诊断的局部/区域CAD系统
阿尔茨海默病(Alzheimer's disease, AD)是一种以中枢神经系统为靶点并导致痴呆的神经退行性疾病,是一种不可修复的疾病。在其发展过程中,该病会经历若干阶段,强烈建议在早期阶段对该病进行诊断。尽管有这一建议,完成这一诊断任务面临许多障碍,包括疾病对其患者的不同影响。本文主要旨在通过引入一种基于脑区域的计算机辅助诊断(CAD)系统来辅助AD的早期诊断过程,该系统采用结构磁共振成像(sMRI)技术,主要经历预处理、脑标记、提取判别特征和诊断四个阶段。我们工作的新颖之处在于提供局部/区域诊断,以服务于疾病的受试者依赖效应,然后进行全球诊断,并根据相关工作评估总体有希望的表现。实验结果表明,该方法准确率为96.6%,特异性为100%,灵敏度为94.25%。将我们的系统与相关工作和一些知名分类器进行验证,在解决这一研究问题方面显示出很好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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