Early classification of Alzheimer's disease using hippocampal texture from structural MRI

Kun Zhao; Yanhui Ding; Pan Wang; Xuejiao Dou; Bo Zhou; Hongxiang Yao; Ningyu An; Yongxin Zhang; Xi Zhang; Yong Liu

doi:10.1117/12.2254198

13 March 2017 Early classification of Alzheimer's disease using hippocampal texture from structural MRI

Kun Zhao, Yanhui Ding, Pan Wang, Xuejiao Dou, Bo Zhou, Hongxiang Yao, Ningyu An, Yongxin Zhang, Xi Zhang, Yong Liu

Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101372E (2017) https://doi.org/10.1117/12.2254198
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Convergent evidence has been collected to support that Alzheimer’s disease (AD) is associated with reduction in hippocampal volume based on anatomical magnetic resonance imaging (MRI) and impaired functional connectivity based on functional MRI. Radiomics texture analysis has been previously successfully used to identify MRI biomarkers of several diseases, including AD, mild cognitive impairment and multiple sclerosis. In this study, our goal was to determine if MRI hippocampal textures, including the intensity, shape, texture and wavelet features, could be served as an MRI biomarker of AD. For this purpose, the texture marker was trained and evaluated from MRI data of 48 AD and 39 normal samples. The result highlights the presence of hippocampal texture abnormalities in AD, and the possibility that texture may serve as a neuroimaging biomarker for AD.

Citation Download Citation

Kun Zhao, Yanhui Ding, Pan Wang, Xuejiao Dou, Bo Zhou, Hongxiang Yao, Ningyu An, Yongxin Zhang, Xi Zhang, and Yong Liu "Early classification of Alzheimer's disease using hippocampal texture from structural MRI", Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101372E (13 March 2017); https://doi.org/10.1117/12.2254198

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