Abstract
Early clinical diagnosis of Alzheimer’s disease (AD) is beneficial for medications that delay its progression. However, current diagnosis of AD is still based on the observation of clinical symptoms from the family members and the MMSE score test from the doctors. Since diffusional tensor imaging (DTI) has long been used to detect microstructural changes in cerebral white matter (WM), we conducted a multi-parameter comparison on structures of WM using DTI, aiming to access the relation between neuroanatomical variations and AD onset.
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Djamanakova A, Tang X, Li X, Faria AV, Ceritoglu C, Oishi K, Hillis AE, Albert M, Lyketsos C, Miller MI, Mori S. Tools for multiple granularity analysis of brain MRI data for individualized image analysis. Neuroimage, 101:168–76, 2014.
Acknowledgements
Research supported by the Key Cultivating Project of Harbin Institute of Technology, and High-end Talent Oversea Returnees Foundation of Shenzhen (KQC201109020052A).
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Ma, J., Wong, C.S., Ma, H.T. (2019). A Study of Alzheimer’s Disease Based on DTI Gaussian Mixture Analysis. In: Zhang, YT., Carvalho, P., Magjarevic, R. (eds) International Conference on Biomedical and Health Informatics. ICBHI 2015. IFMBE Proceedings, vol 64. Springer, Singapore. https://doi.org/10.1007/978-981-10-4505-9_31
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DOI: https://doi.org/10.1007/978-981-10-4505-9_31
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