30 March 2007 Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image
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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.
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Zifan Cai, Zifan Cai, Qian Di, Qian Di, Kewei Chen, Kewei Chen, Eric M. Reiman, Eric M. Reiman, Liang Wang, Liang Wang, Kuncheng Li, Kuncheng Li, Jie Tang, Jie Tang, Li Yao, Li Yao, Xiaojie Zhao, 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); doi: 10.1117/12.708376; https://doi.org/10.1117/12.708376
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