Three-dimensional simulation of the heart based on the analyses of ECG and cardiac images: arrhythmias and myocardial infarction

• Grant number: 17/22949-3
• Support Opportunities: Regular Research Grants
• Start date: September 01, 2018
• End date: April 30, 2021
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Regina Célia Coelho
• Grantee: Regina Célia Coelho
• Host Institution: Instituto de Ciência e Tecnologia (ICT). Universidade Federal de São Paulo (UNIFESP). Campus São José dos Campos. São José dos Campos , SP, Brazil
• Associated researchers: Carlos Marcelo Gurjão de Godoy ; Daniela Mayumi Ushizima ; Elbert Einstein Nehrer Macau ; Fábio Luís Valério da Silva ; Fátima Nelsizeuma Sombra de Medeiros ; Jurandy Gomes de Almeida Junior

Abstract

Modern and sophisticated computational models allow accurate and detailed animation/simulation of the beating heart. Even though those computational resources are valuable for studies, teaching, and research in the medical area, they do not exhibit flexibility for animation/simulation beyond those customized and pre-programmed for the heart model. Thus, we initiated, with grants from FAPESP, the development of a computational tool that expresses, in a simplified 3D virtual model of the heart, the cardiac movement during its beating by using parameters (essentially the durations of the cardiac contraction and relaxation) obtained from interpretation of the ECG. By doing so, the simulation makes it possible for the model, based on medical images, to incorporate data obtainable from the ECG and not only those pre-programmed. The objective of the present project is to deepen and advance the development of the heart simulation by obtaining a more realistic animation of the heart (detailed 3D virtual heart) that would express diversified arrhythmias and cardiac infarction. For that, it is intended to perform measurements and dynamic (real-time) interpretation of durations and strength of ECG waves to identify those cardiac pathologies. It is also intended to perform the analysis of cardiac images generated by magnetic resonance or echocardiography for extraction of parameters related to the heart movements that will be implemented in the simulation. Such image analyses will also be used for the computational model validation considering quantitative aspects of the correct anatomical/physiological functionality of the heart at the pathological conditions identified in the ECG interpretation. (AU)

Scientific publications

(5)

(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)

SANTOS, LUCAS GONCALVES; GUIJAO DE GODOY, CARLOS MARCELO; PRATES, LEOPOLDO DE JESUS; COELHO, REGINA CELIA; DIAZ, CAG; GONZALEZ, CC; LEBER, EL; VELEZ, HA; PUENTE, NP; FLORES, DL; et al. Comparative Evaluation of Anisotropic Filters Used to Reduce Speckle in Ultrasound Images. VIII LATIN AMERICAN CONFERENCE ON BIOMEDICAL ENGINEERING AND XLII NATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, v. 75, p. 5-pg., 2020-01-01. (17/22949-3)

COELHO, REGINA CELIA; SELUSNIACKI, MATEUS COELHO; MIRANDOLA CIENI, KASSIUS GUILHERME; ALVES BORGES, RODOLFO FREITAS; GURJAO DE GODOY, CARLOS MARCELO; COSTAFELIX, R; MACHADO, JC; ALVARENGA, AV. Method for the Left Ventricle Segmentation Applicable to Distinct Echocardiography Image Databases. XXVI BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2018, VOL. 2, v. 70, n. 2, p. 7-pg., 2019-01-01. (12/01505-6, 17/22949-3)

GODOY, C. M. G.; SELUSNIACKI, M. C.; DOS SANTOS, V. S.; GODOY, C. C.; DOS SANTOS, G. M.; COELHO, R. C.; MAGNENAT-THALMANN, N; INTERRANTE, V; THALMANN, D; PAPAGIANNAKIS, G; et al. In Silico Heart Versatile Graphical Interface with Systole and Diastole Phases Customizable for Diversified Arrhythmias Simulations. ADVANCES IN COMPUTER GRAPHICS, CGI 2021, v. 13002, p. 12-pg., 2021-01-01. (17/22949-3)

VIEIRA, R. E. Q.; DE GODOY, C. M. G.; COELHO, R. C.; BASTOS-FILHO, TF; CALDEIRA, EMD; FRIZERA-NETO, A. Low Processing Power Algorithm to Segment Tumors in Mammograms. XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020, v. N/A, p. 8-pg., 2022-01-01. (17/22949-3)

ALI GANEM, GABRIELA COLARES; COELHO, REGINA CELIA; GURJAO DE GODOY, CARLOS MARCELO; DIAZ, CAG; GONZALEZ, CC; LEBER, EL; VELEZ, HA; PUENTE, NP; FLORES, DL; ANDRADE, AO; et al. Animation of Atrial and Ventricular External Walls of a Virtual 3D Heart Based on Echocardiogram Images. VIII LATIN AMERICAN CONFERENCE ON BIOMEDICAL ENGINEERING AND XLII NATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, v. 75, p. 4-pg., 2020-01-01. (17/22949-3)