Selecting Regions of Interest for the Diagnosis of Alzheimer Using Brain SPECT Images

Diego Salas-Gonzalez,Juan M. Górriz,Javier Ramírez,Ignacio Álvarez,Míriam López,Fermín Segovia,Carlos G. Puntonet

ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 3, PROCEEDINGS（2009）

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摘要

This paper presents a computer-aided diagnosis technique for improving the accuracy of the early diagnosis of the Alzheimer type dementia. The proposed methodology is based on the selection of those voxels which present a greater difference between normals and Alzheimer's type dementia patients. The mean value of the intensities of the selected voxels are used as features for different classifiers. The proposed methodology reaches an accuracy of 89% in the classification task.

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关键词

brain spect images,selected voxels,different classifier,classification task,proposed methodology,mean value,selecting regions,greater difference,computer-aided diagnosis technique,alzheimer type dementia,type dementia patient,early diagnosis,classification,region of interest

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