Semi-automatic boundary detection to improve reporting of regional left ventricular function.
Eur J Echocardiogr
; 7(3): 209-16, 2006 Jun.
Article
em En
| MEDLINE
| ID: mdl-16043415
AIMS: The reporting of regional left ventricular function is based on subjective assessment of endocardial motion and thickening and has a significant learning curve. We hypothesized that the use of an semi-automatic boundary detection system generating images with superimposed moving endocardial borders and a fixed end-diastolic reference border could improve the reporting of regional function. METHODS: We obtained 58 resting contrast images of 15 patients and using a new boundary detection system (Quamus), generated images with superimposed endocardial borders. The contrast images, images with additional Quamus borders and Quamus borders alone were assessed by two level 1 and two level 2 echocardiographers. They scored regional function and results were compared to two level 3 experienced stress echocardiography readers. RESULTS: The addition of borders improved the agreement of level 1 echocardiographers (weighted Kappa increased from 0.55 to 0.64) but did not change for level 2 echocardiographers (0.63 to 0.64) and has the potential to be a useful training tool.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
/
Disfunção Ventricular Esquerda
/
Ecocardiografia sob Estresse
Tipo de estudo:
Diagnostic_studies
Limite:
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Ano de publicação:
2006
Tipo de documento:
Article