Mr. Zifan Cai Profile

Zifan Cai

at Beijing Normal Univ

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Proceedings Article | 30 March 2007 Paper

Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image

Zifan Cai, Qian Di, Kewei Chen, Eric Reiman, Liang Wang, Kuncheng Li, Jie Tang, Li Yao, Xiaojie Zhao

Proceedings Volume 6514, 65142B (2007) https://doi.org/10.1117/12.708376

KEYWORDS: Magnetic resonance imaging, Image segmentation, Control systems, Brain, Image processing, Alzheimer's disease, Modulation, Diagnostics, Statistical analysis, Magnetism

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Magnetic resonance image (MRI) has provided an imageological support into the clinical diagnosis and prediction of Alzheimer disease (AD) progress. Currently, the clinical use of MRI data on AD diagnosis is qualitative via visual inspection and less accurate. To provide assistance to physicians in improving the accuracy and sensitivity of the AD diagnose and the clinical outcome of the disease, we developed a computer-assisted analysis package that analyzed the MRI data of an individual patient in comparison with a group of normal controls. The package is based on the principle of the well established and widely used voxel-based morphometry (VBM) and SPM software. All analysis procedure is automated and streamlined. With only one mouse-click, the whole procedure was finished within 15 minutes. With the interactive display and anatomical automatic labeling toolbox, the final result and report supply the brain regional structure difference, the quantitative assessment and visual inspections by physicians and scientific researcher. The brain regions which affected by AD are consonant in the main with the clinical diagnosis, which are reviewed by physicians. In result, the computer package provides physician with an automatic and assistant tool for prediction using MRI. This package could be valuable tool assisting physicians in making their clinical diagnosis decisions.

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