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A Study of Alzheimer’s Disease Based on DTI Gaussian Mixture Analysis

  • Jingbo Ma
  • Chun Sing Wong
  • Heather T. MaEmail author
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 64)

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.

Notes

Acknowledgements

Research supported by the Key Cultivating Project of Harbin Institute of Technology, and High-end Talent Oversea Returnees Foundation of Shenzhen (KQC201109020052A).

Reference

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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.CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electronic & Information EngineeringHarbin Institute of Technology Shenzhen Graduate SchoolShenzhenChina
  2. 2.Li Ka Shing faculty of medicine, Department of Diagnostic RadiologyThe University of Hong KongHong KongChina

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