Model-based region-of-interest selection in dynamic breast MRI.
J Comput Assist Tomogr
; 30(4): 675-87, 2006.
Article
em En
| MEDLINE
| ID: mdl-16845302
ABSTRACT
Magnetic resonance imaging (MRI) is emerging as a powerful tool for the diagnosis of breast abnormalities. Dynamic analysis of the temporal pattern of contrast uptake has been applied in differential diagnosis of benign and malignant lesions to improve specificity. Selecting a region of interest (ROI) is an almost universal step in the process of examining the contrast uptake characteristics of a breast lesion. We propose an ROI selection method that combines model-based clustering of the pixels with Bayesian morphology, a new statistical image segmentation method. We then investigate tools for subsequent analysis of signal intensity time course data in the selected region. Results on a database of 19 patients indicate that the method provides informative segmentations and good detection rates.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Doenças Mamárias
/
Imageamento por Ressonância Magnética
/
Interpretação de Imagem Assistida por Computador
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Female
/
Humans
Idioma:
En
Revista:
J Comput Assist Tomogr
Ano de publicação:
2006
Tipo de documento:
Article