GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI
Fang, Zhaojie, Zhu, Shenghao, Chen, Yifei, Zou, Binfeng, Jia, Fan, Qiu, Linwei, Liu, Chang, Huang, Yiyu, Feng, Xiang, Qin, Feiwei, Wang, Changmiao, Wang, Yeru, Fan, Jin, Chu, Changbiao, Wu, Wan-Zhen, Zhao, Hu
–arXiv.org Artificial Intelligence
--Alzheimer's Disease (AD) is a progressive, irreversible neurodegenerative disorder that often originates from Mild Cognitive Impairment (MCI). This progression results in significant memory loss and severely affects patients' quality of life. Clinical trials have consistently shown that early and targeted interventions for individuals with MCI may slow or even prevent the advancement of AD. Research indicates that accurate medical classification requires diverse multimodal data, including detailed assessment scales and neuroimaging techniques like Magnetic Resonance Imaging (MRI) and Positron Emission T omography (PET). However, simultaneously collecting the aforementioned three modalities for training presents substantial challenges. T o tackle these difficulties, we propose GFE-Mamba, a multimodal classifier founded on Generative Feature Extractor . The intermediate features provided by this Extractor can compensate for the shortcomings of PET and achieve profound multimodal fusion in the classifier . The Mamba block, as the backbone of the classifier, enables it to efficiently extract information from long-sequence scale information. We provide our rationale for developing this cross-temporal progression prediction dataset and the pre-trained Extractor weights. Our experimental findings reveal that the GFE-Mamba model effectively predicts the progression from MCI to AD and surpasses several leading methods in the field. Data used in the preparation of this article was obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). The ADNI researchers contributed data but did not participate in analysis or writing of this report. The data was made available at the ADNI database (www.loni.usc.edu). Changbiao Chu is with Xuanwu Hospital, Capital Medical University, Beijing, 100053, China (e-mail:chucb@xwhosp.org). LZHEIMER'S Disease (AD) is a prevalent neurode-generative condition in older adults, affecting memory, cognitive abilities, and daily life activities [41].
arXiv.org Artificial Intelligence
Jul-22-2024
- Country:
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