Use of texture analysis for structural brain assessment in young adults undergoing a moderate-intensity running training program

• Grant number: 24/03158-9
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: May 01, 2024
• End date: April 30, 2025
• Field of knowledge: Engineering - Biomedical Engineering
• Principal Investigator: Gabriela Castellano
• Grantee: Mateus Santos Bonadia
• Host Institution: Instituto de Física Gleb Wataghin (IFGW). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology, AP.CEPID

Abstract

The technique of magnetic resonance imaging (MRI) is today one of the most used methods for carrying out in vivo studies of the human body and its pathologies, in a non-invasive way. MRI generates digital images, which can be analyzed with image processing methods, such as texture analysis - this allows the description of an image based on a few parameters. There are several approaches for extracting texture parameters from an image, and for medical images, one of the most used has been the statistical approach. Statistical texture parameters have shown statistically significant differences in MR images of normal individuals and patients with anomalies in anatomical regions that appear normal under simple visual inspection of the image. The objective of this project is to study and analyze the texture of images, obtained by MRI, of the brains of individuals subject to a moderate intensity running program, and verify the occurrence of possible structural changes resulting from training.