3D Pre-Processing Algorithm for MRI Images of Different Stages of AD

IF 1.7 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Thamizhvani T. R., Hemalatha R. J.
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引用次数: 0

Abstract

Alzheimer’s disease (AD) is a degenerative neuronal brain disorder resulting in memory loss, skills, and cognitive changes. The disorder’s primary diagnostic tests are defined as total brain atrophy and hippocampal atrophy. Early diagnosis is significant, and automatic systems design is necessary for this disorder. Potential biomarkers for AD are described using a hippocampal magnetic resonance imaging volumetry system with certain limitations. For the definite identification of the hippocampus region, pre-processing of the 3D MRI images of AD is necessary. The filtering and histogram-based pre-processing techniques enhance the region of interest, which helps in effectively segmenting the biomarker, the hippocampus. The median and eight histogram clippings are defined to be 98% efficient pre-processing techniques with the comparison of image quality parameters and statistical analysis. Thus an algorithm for pre-processing of the 3D MRI images of stages of AD is designed for the further process of identification.
AD不同阶段MRI图像的三维预处理算法
阿尔茨海默病(AD)是一种退行性神经元大脑疾病,导致记忆丧失、技能和认知变化。该疾病的主要诊断测试被定义为全脑萎缩和海马萎缩。早期诊断是重要的,对这种疾病进行自动系统设计是必要的。潜在的AD生物标志物描述使用海马磁共振成像容量测量系统具有一定的局限性。为了明确识别海马区域,需要对AD的三维MRI图像进行预处理。滤波和基于直方图的预处理技术增强了感兴趣的区域,这有助于有效地分割生物标志物海马体。通过对图像质量参数的比较和统计分析,定义了中位数和8次直方图裁剪为98%高效的预处理技术。为此,设计了一种对AD各阶段的三维MRI图像进行预处理的算法,以便进一步进行识别。
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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来源期刊
CiteScore
4.00
自引率
46.20%
发文量
143
审稿时长
12 weeks
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