Classification of Alzheimer and MCI phenotypes on MRI data using SVM

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Alzheimer’s Disease Neuroimaging Initiative

Alzheimer disease (AD) is a common form of dementia affecting people older than the age of 65. Moreover, AD is commonly diagnosed by behavioural paradormants, cognitive tests, and is followed by brain scans. Computer Aided Diagnosis (CAD), applies medical imaging and machine learning algorithms, to aid in the early diagnosis of Alzheimer’s severity and advancement from prodromal stages i.e. Mild Cognitive Impairment (MCI) to diagnosed Alzheimer’s disease. In this work, SVM (support vector machine) is used for dementia stage classification. Anatomical structures of the brain were obtained from FreeSurfer’s processing of structural Magnetic Resonance Imaging (MRI) data and is utilized for as features for SVM. To be more precise, the system is processed using T1-weighted brain MRI datasets consisting of: 150 mild cognitive impairment (MCI) patients, 80 AD patients and 130 normal controls (NC) obtained from Alzheimer Disease Neuroimaging Initiative (ADNI) database. The volumes of brain structures (hippocampus, medial temporal lobe, whole brain, ventricular, cortical grey matter, entorhinal cortex and fusiform) are employed as biomarkers for multi-class classification of AD, MCI, and NC.

Original languageEnglish
Title of host publicationAdvances in Signal Processing and Intelligent Recognition Systems : Proceedings of 3rd International Symposium on Signal Processing and Intelligent Recognition Systems, SIRS-2017
PublisherSpringer
Publication date2018
Pages263-275
ISBN (Print)9783319679334
DOIs
Publication statusPublished - 2018
Event3rd International Symposium on Signal Processing and Intelligent Recognition Systems, SIRS 2017 - Manipal, India
Duration: 13 Sep 201716 Sep 2017

Conference

Conference3rd International Symposium on Signal Processing and Intelligent Recognition Systems, SIRS 2017
LandIndia
ByManipal
Periode13/09/201716/09/2017
SeriesAdvances in Intelligent Systems and Computing
Volume678
ISSN2194-5357

    Research areas

  • Alzheimer disease, FreeSurfer, Machine learning, Mild cognitive impairment, Normal control, Structural magnetic resonance imaging, SVM

ID: 203940895