Paper
30 March 2007 Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image
Zifan Cai, Qian Di, Kewei Chen, Eric M. Reiman, Liang Wang, Kuncheng Li, Jie Tang, Li Yao, Xiaojie Zhao
Author Affiliations +
Abstract
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zifan Cai, Qian Di, Kewei Chen, Eric M. Reiman, Liang Wang, Kuncheng Li, Jie Tang, Li Yao, and Xiaojie Zhao "Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65142B (30 March 2007); https://doi.org/10.1117/12.708376
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KEYWORDS
Magnetic resonance imaging

Image segmentation

Control systems

Brain

Image processing

Alzheimer's disease

Modulation

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