Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging

Author

Jaramillo, David ; Rojas, Ignacio ; Valenzuela, Olga ; García, Ignacio ; Prieto, Alberto

Author_Institution

Dept. of Comput. Archit. & Comput. Technol., Univ. of Granada, Granada, Spain

fYear

2012

fDate

10-15 June 2012

Firstpage

1

Lastpage

8

Abstract

There are several dementias but Alzheimer´s Disease (AD) is leading cause of dementia in the world. In this paper, a new methodology for classification of MR images is proposed, using a large data base (more than one thousand patient). We have two main objectives in this paper: a first one where a classification method is developed to classify MR images as either normal or with the Alzheimer´s disease and a second which is the ambitious goal of this study, the identification and classification between normal subjects, MCI patients and AD patients. It is noteworthy that with this last study we could offer a tool to assist the early diagnosis of dementia.

Keywords

biomedical MRI; decision support systems; diseases; image classification; medical image processing; AD patients; Alzheimer disease; MCI patients; MR image classification; dementia diagnosis; intelligent computing; magnetic resonance imaging; medical decision-making; Accuracy; Atrophy; Dementia; Feature extraction; Kernel; Support vector machines; Alzheimer´s Disease (AD); Magnetic Resonance Imaging; Mild Cognitive Impairment (MCI); Neuroimaging; Principal Component Analysis (PCA); Support Vector Machine (SVM); Wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks (IJCNN), The 2012 International Joint Conference on

Conference_Location

Brisbane, QLD

ISSN

2161-4393

Print_ISBN

978-1-4673-1488-6

Electronic_ISBN

2161-4393

Type

conf

DOI

10.1109/IJCNN.2012.6252575

Filename

6252575