Detection and analysis of hippocampal structural asymmetries in magnetic resonance images with application to aid in the diagnosis of Alzheimer's Disease

• Grant number: 18/09972-9
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: December 01, 2018
• End date: November 30, 2019
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Ricardo José Ferrari
• Grantee: Italo Antonio Duarte de Oliveira
• Host Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil

Abstract

Dementia has become one of the most significant public health problems worldwide due to the growing ageing of the elderly population. Among the different types of dementia, Alzheimer's disease (AD) is the most frequent, corresponding to almost 60% of the cases. According to the World Health Organization, the number of people with AD worldwide in 2010 was about 35.6 million and is estimated to nearly double by 2030 (65.7 million) and quadruple by 2050 (115.4 million). In Brazil, about one million people have already been affected by this disease. However, even when patients report symptoms and have visible signs of cognitive losses, dementia may not be diagnosed in time. In this scenario, the development of automatic computational techniques, both for diagnostic assistance and to elucidate uninvestigated elements about this disease, is essential for the search for the cure. Therefore, this research aims to develop techniques for the detection and subsequent analysis of asymmetries between the left and right hippocampal regions of magnetic resonance imaging (MRI) aiming at the classification of MRI images in the healthy and AD cognitive ageing classes.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

POLONI, KATIA M.; DE OLIVEIRA, ITALO A. DUARTE; TAM, ROGER; FERRARI, RICARDO J.; INITI, ALZHEIMERS DIS NEUROIMAGING. Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses. Neurocomputing, v. 419, p. 126-135, JAN 2 2021. (18/09972-9, 18/06049-5, 18/08826-9)

DE OLIVEIRA, ITALO A. D.; POLONI, KATIA M.; FERRARI, RICARDO J.; DEHERRERA, AGS; GONZALEZ, AR; SANTOSH, KC; TEMESGEN, Z; KANE, B; SODA, P. Exploring hippocampal asymmetrical features from magnetic resonance images for the classification of Alzheimer's disease. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., 2020-01-01. (18/09972-9, 18/08826-9, 18/06049-5)