Research Progress for the Analysis of Images and Genetic Features in Alzheimer′s Disease
Han Liting1,2, Yao Xufeng2,3*, Jin Yu1,2, Zhao Congyi1,2, Huang Gang2,3
1(School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200082, China) 2(College of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201308, China) 3(Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201308, China)
Abstract：Alzheimer′s disease (AD) is one of the most common neurodegenerative diseases, and its phenotype has shown susceptible to genetic factors. In recent years, with the wide application of multimodal brain imaging and high-throughput genomics in medical imaging, it has become a new hotspot to explore the association analysis between images and genes by means of data mining and mathematical modeling. Till now, the combined analysis of images and genetic characteristics has been used to study AD and has made significant progress in the early diagnosis, classification, and prognostic analysis. This article first summarized the imaging and genetic features, then explained the application of statistics and machine learning (ML) methods in the joint analysis of image gene features, and finally summarized and proposed its development perspectives.
韩立婷, 姚旭峰, 金宇, 赵从义, 黄钢. 影像与基因特征分析方法在阿尔茨海默病中的研究进展[J]. 中国生物医学工程学报, 2022, 41(4): 485-492.
Han Liting, Yao Xufeng, Jin Yu, Zhao Congyi, Huang Gang. Research Progress for the Analysis of Images and Genetic Features in Alzheimer′s Disease. Chinese Journal of Biomedical Engineering, 2022, 41(4): 485-492.
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