An automated method for lumen and media-adventitia border detection in a sequence of IVUS frames.

In this paper, we present a method for the automated detection of lumen and media-adventitia border in sequential intravascular ultrasound (IVUS) frames. The method is based on the use of deformable models. The energy function is appropriately modified and minimized using a Hopfield neural network....

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Detalles Bibliográficos
Publicado en:	IEEE Transactions on information technology in biomedicine 8, 2 (2004).
Autor Principal:	Plissiti, M.E
Formato:	Artigo
Idioma:	English
Subjects:	Ca. Hopfield neural network. Arterial segments. Boundary correction schemas. Calcified region. Calcium. Deformable models. Distortions. Energy function. Image pattern. Image segmentation. Intravascular ultrasound frames. Lumen automated detection. Media-adventitia border. Priori knowledge. Simulated annealing scheme. Vessel geometry.