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

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....

詳細記述

書誌詳細
出版年:IEEE Transactions on information technology in biomedicine 8, 2 (2004).
第一著者: Plissiti, M.E
フォーマット: 論文
言語:English
主題:
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.