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

Authors:
Diego Salas-Gonzalez;Juan M. Górriz;Javier Ramírez;Ignacio Álvarez;Míriam López;Fermín Segovia;Carlos G. Puntonet
Affiliations:
Dept. of Signal Theory, Networking and Communications, University of Granada, Granada, Spain 18071;Dept. of Signal Theory, Networking and Communications, University of Granada, Granada, Spain 18071;Dept. of Signal Theory, Networking and Communications, University of Granada, Granada, Spain 18071;Dept. of Signal Theory, Networking and Communications, University of Granada, Granada, Spain 18071;Dept. of Signal Theory, Networking and Communications, University of Granada, Granada, Spain 18071;Dept. of Signal Theory, Networking and Communications, University of Granada, Granada, Spain 18071;Dept. of Computer Architecture and Computer Technology, University of Granada, Granada, Spain 18071
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Year:
2009

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Abstract

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.