Desenvolvimento de um software para detecção de estenose mitral a partir de ecocardiograma utilizando processamento digital de imagem : um apoio à decisão clínica

Cardiovascular Diseases (CVDs) are prevalent globally, characterized by low survival rates and an increasing incidence. Among the heart valves, the mitral valve (MV) is most frequently affected by pathological alterations, such as mitral stenosis (MS), which is defined as the incomplete opening of t...

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Detalhes bibliográficos
Autor: Barros Filho, Genilton de França
Formato: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2025
País:Brasil
Recursos:Universidade Federal da Paraíba (UFPB)
Repositorio:Biblioteca Digital de Teses e Dissertações da UFPB
Idioma:portugués
OAI Identifier:oai:repositorio.ufpb.br:123456789/35094
Acesso em linha:https://repositorio.ufpb.br/jspui/handle/123456789/35094
Access Level:acceso abierto
Palavra-chave:Software - Ecocardiogramas - Estenose mitral
Ecocardiograma - Valva mitral
Ecocardiogramas - Impressão 3D
Processamento digital de imagens
Mitral valve
Mitral stenosis
Digital image processing
Echocardiograms
Open algorithm software
3D printing
CNPQ::ENGENHARIAS::ENGENHARIA MECANICA
Descrição
Resumo:Cardiovascular Diseases (CVDs) are prevalent globally, characterized by low survival rates and an increasing incidence. Among the heart valves, the mitral valve (MV) is most frequently affected by pathological alterations, such as mitral stenosis (MS), which is defined as the incomplete opening of the valve, thereby obstructing forward blood flow. In this way, this study aims to automate the determination of the mitral valve's maximum opening area and carry out its 3D printing, using Digital Image Processing (DIP) on Three-Dimensional Transesophageal Echocardiogram (3D TEE) exams through direct planimetry, facilitated by the development of a software. The research involved thirty echocardiogram exams from thirty distinct patients, sixteen of whom exhibited normal mitral valve openings, while fourteen presented with rheumatic mitral stenosis. All videos, in AVI format, underwent DIP using Thresholding method, and a software was developed to assist in the diagnosis of stenosis and for 3D printing of mitral valves. The software successfully identified cases with and without mitral stenosis among the subjects analyzed. The maximum opening area of the valve was clearly delineated using the DIP technique. These measurements were juxtaposed with those conducted by specialists, showing remarkable similarity, with the greatest discrepancy being 0.3 cm². The correlation between these two sets of measurements was validated through the Bland-Altman method. The mitral valves were printed with FLEX and PETG material. Prints with FLEX material showed better results compared to those printed with PETG. The results of this study demonstrated the feasibility of Thresholding in detecting the presence or absence of mitral stenosis and in performing 3D printing of mitral valves from echocardiogram videos.