Magnetic Resonance Texture Analysis in Alzheimer's disease

被引：41

作者：

Cai, Jia-Hui ^{[1
]}

He, Yuan ^{[1
]}

Zhong, Xiao-Lin ^{[2
]}

Lei, Hao ^{[1
]}

Wang, Fang ^{[1
]}

Luo, Guang-Hua ^{[1
]}

Zhao, Heng ^{[1
,3
]}

Liu, Jin-Cai ^{[1
]}

机构：

[1] Univ South China, Dept Radiol, Affiliated Hosp 1, Chuanshan Rd 69, Hengyang 421000, Hunan, Peoples R China

[2] Univ South China, Inst Clin Med, Affiliated Hosp 1, Hengyang, Hunan, Peoples R China

[3] China Med Univ, Dept Radiol, Shengjing Hosp, Sanhao St 36, Shenyang 110004, Peoples R China

来源：

ACADEMIC RADIOLOGY | 2020年 / 27卷 / 12期

关键词：

Alzheimer's disease; Magnetic Resonance Imaging; Texture Analysis; Machine learning; MILD COGNITIVE IMPAIRMENT; AMYLOID-BETA PEPTIDE; OXIDATIVE STRESS; MRI; DIAGNOSIS; DEMENTIA; IMAGES; INFLAMMATION; PREVENTION; RADIOMICS;

D O I：

10.1016/j.acra.2020.01.006

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Texture analysis is an emerging field that allows mathematical detection of changes in MRI signals that are not visible among image pixels. Alzheimer's disease, a progressive neurodegenerative disease, is the most common cause of dementia. Recently, multiple texture analysis studies in patients with Alzheimer's disease have been performed. This review summarizes the main contributors to Alzheimer's disease-associated cognitive decline, presents a brief overview of texture analysis, followed by review of various MR imaging texture analysis applications in Alzheimer's disease. We also discuss the current challenges for widespread clinical utilization. MR texture analysis could potentially be applied to develop neuroimaging biomarkers for use in Alzheimer's disease clinical trials and diagnosis.

引用

页码：1774 / 1783

页数：10

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