RESUMO
The authors describe a fast method for calculating left ventricle (LV) mass and volumes from multiplanar magnetic resonance (MR) images. Mathematic models were fitted to a small number of user-selected guide points in 15 healthy volunteers, 13 patients after myocardial infarction, and a canine model of mitral regurgitation in eight dogs. Errors between model and manual contours were small (LV mass, 1.8 g +/- 4.9 [mean +/- SD]; end-diastolic volume, 2.2 mL +/- 4.6; end-systolic volume, 2.3 mL +/- 3.8). Estimates of global function could be obtained in 6 minutes, a time saving of 5-10 times over estimates with manual contouring.
Assuntos
Volume Cardíaco/fisiologia , Ventrículos do Coração/anatomia & histologia , Processamento de Imagem Assistida por Computador/métodos , Imagem Cinética por Ressonância Magnética/métodos , Função Ventricular Esquerda/fisiologia , Adolescente , Adulto , Algoritmos , Animais , Velocidade do Fluxo Sanguíneo/fisiologia , Débito Cardíaco/fisiologia , Diástole , Modelos Animais de Doenças , Cães , Feminino , Análise de Elementos Finitos , Humanos , Masculino , Insuficiência da Valva Mitral/patologia , Insuficiência da Valva Mitral/fisiopatologia , Modelos Cardiovasculares , Infarto do Miocárdio/patologia , Infarto do Miocárdio/fisiopatologia , Volume Sistólico/fisiologia , Sístole , Fatores de TempoRESUMO
MOTIVATION: Molecular biotechnology now makes it possible to build elaborate systems models, but the systems biology community needs information standards if models are to be shared, evaluated and developed cooperatively. RESULTS: We summarize the Systems Biology Markup Language (SBML) Level 1, a free, open, XML-based format for representing biochemical reaction networks. SBML is a software-independent language for describing models common to research in many areas of computational biology, including cell signaling pathways, metabolic pathways, gene regulation, and others. AVAILABILITY: The specification of SBML Level 1 is freely available from http://www.sbml.org/