Research on computer-aided diagnosis of Alzheimer's disease based on PET images

Ze Yu; Gang Xu; Xiang Li; Zhimin Zhu; Fengsui Wang

doi:10.1117/12.2643553

9 October 2022 Research on computer-aided diagnosis of Alzheimer's disease based on PET images

Ze Yu, Gang Xu, Xiang Li, Zhimin Zhu, Fengsui Wang

Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 122460Y (2022) https://doi.org/10.1117/12.2643553
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China

Abstract

This paper presents a method that can accurately diagnose Alzheimer's disease. Normalized whole brain volume, normalized gray matter volume, and normalized white matter volume were obtained by segmenting amyloid PET images. Register to a unified MNI spatial template and perform spatial standardization, and select the optimal two-dimensional slice retention level in all volume images as experimental data. Finally, the extracted features of each brain region are classified by EfficientNet-B8. The correct rate of whole brain classification: 0.987017; the correct rate of white matter classification: 0.998665; the correct rate of gray matter: 0.969573; the test results show that this method can more accurately distinguish mild AD patients and normal elderly compared with existing methods. Contribute to the prevention and early diagnosis of AD disease.

Citation Download Citation

Ze Yu, Gang Xu, Xiang Li, Zhimin Zhu, and Fengsui Wang "Research on computer-aided diagnosis of Alzheimer's disease based on PET images", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 122460Y (9 October 2022); https://doi.org/10.1117/12.2643553

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