Semi Automatic Identification and Characterization of Brain White Matter Lesions in Volumetric Resonance Magnetic Images

• Grant number: 12/21826-1
• Support Opportunities: Scholarships in Brazil - Doctorate
• Effective date (Start): June 01, 2013
• Effective date (End): October 30, 2016
• Field of knowledge: Engineering - Electrical Engineering
• Principal Investigator: Roberto de Alencar Lotufo
• Grantee: Mariana Pinheiro Bento Leite
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated scholarship(s): 14/09122-4 - Texture analysis and classification for brain white matter lesions detection and characterization on MRI, BE.EP.DR

Abstract

The lesions in the brain white matter of the brain called white matter hyperintensities may cause significant functional impairment and are commonly associated with neurological or psychiatric diseases. The current analysis of these lesions is manually performed by experts in magnetic resonance imaging, and represents a non-trivial, costly and subjective task. Thus, the proposed approach aims to create a helpful tool in the identification and characterization of injured tissues in the brain white matter, as well as enable the tracking of patients over time through structural metrics extracted from the previously identified lesions. The methodology to be developed will combine and propose techniques in the area of image processing, such as preprocessing, segmentation, representation and description, and in the area of pattern recognition, such as characterization, discrimination between classes, classification and prediction, to solve the present problem.

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)

LEITE, MARIANA; RITTNER, LETICIA; APPENZELLER, SIMONE; RUOCCO, HELOISA HELENA; LOTUFO, ROBERTO. Etiology-based classification of brain white matter hyperintensity on magnetic resonance imaging. JOURNAL OF MEDICAL IMAGING, v. 2, n. 1, JAN-MAR 2015. (12/21826-1, 13/07559-3)

BENTO, MARIANA; DE SOUZA, ROBERTO; LOTUFO, ROBERTO; FRAYNE, RICHARD; RITTNER, LETICIA; CRIMI, A; BAKAS, S; KUIJF, H; MENZE, B; REYES, M. WMH Segmentation Challenge: A Texture-Based Classification Approach. BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2017, v. 10670, p. 12-pg., 2018-01-01. (13/07559-3, 12/21826-1)