Exploring hippocampal asymmetrical features from magnetic resonance images for the classification of Alzheimer's disease

Autor(es)

de Oliveira, Italo A. D. ; Poloni, Katia M. ; Ferrari, Ricardo J. ; DeHerrera, AGS ; Gonzalez, AR ; Santosh, KC ; Temesgen, Z ; Kane, B ; Soda, P

• Tipo de documento: Artigo Científico
• Fonte: 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020); v. N/A, p. 6-pg., 2020-01-01.

Resumo

Alzheimer's disease (AD) is the most common cause of dementia, accounting for 60 to 80% of all cases. Because of population aging, this disease has become one of the most relevant global public health problems. Several studies have shown the hippocampal structures present significant asymmetry in AD, and that difference, measured from the volumes between left and right hippocampus, varies with the disease progression. Although imaging biomarkers have been proposed to investigate whether the asymmetry of hippocampus subfields changes through the disease progression, little attention has been paid to explore asymmetrical hippocampal image features to aid for AD early diagnosis. In this study, we propose a new method for the classification of Magnetic Resonance (MR) images in both cognitively normal (CN) versus mild cognitive impairment (MCI) and CN versus mild-AD patient groups using only asymmetrical features extracted from the hippocampal MR image hemispheres. The features, devised from the magnitude response images resulting from applying 3-D log-Gabor filters to an MR input image, are used to train Support Vector Machine classifiers for the MR image classification. Quantitative evaluation of our proposed method applied to MR image classification resulted in accuracy, Fl-score, and AUC average values of 71.23%, 0.67, and 0.77 for the CN x MCI case, and 80.43%, 0.75, and 0.88 for the CNx AD case. These results are very promising, considering we used only asymmetrical features from the hippocampal regions in this study. (AU)

• Processo FAPESP: 18/09972-9 - Detecção e análise de assimetrias estruturais hipocampais em imagens de ressonância magnética com aplicação no auxílio ao diagnóstico da Doença de Alzheimer
• Beneficiário: Italo Antonio Duarte de Oliveira
• Modalidade de apoio: Bolsas no Brasil - Iniciação Científica
• Processo FAPESP: 18/08826-9 - Desenvolvimento de técnicas de engenharia de características e aprendizagem profunda aplicadas à classificação de imagens de ressonância magnética nas classes envelhecimento cognitivo saudável, comprometimento cognitivo leve e Doença de Alzheimer
• Beneficiário: Ricardo José Ferrari
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 18/06049-5 - Esquema computacional automático para a detecção, identificação e classificação de alterações estruturais cerebrais em imagens de ressonância magnética para auxílio ao diagnóstico de pacientes com comprometimento cognitivo leve e Doença de Alzheimer leve
• Beneficiário: Katia Maria Poloni
• Modalidade de apoio: Bolsas no Brasil - Doutorado