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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