A novel automatic algorithm for the segmentation of the lumen of the carotid artery in ultrasound B-mode images

作者：Santos Andre Miguel F; dos Santos Rosa Maria; Castro Pedro Miguel A C; Azevedo Elsa; Sousa Luisa; Tavares Joao Manuel R S^*

来源：Expert Systems with Applications, 2013, 40(16): 6570-6579.

DOI：10.1016/j.eswa.2013.06.003

• Medical imaging
• Ultrasound imaging
• Internal and external carotid arteries
• Image segmentation
• Chan-Vese model

A novel algorithm is proposed for the segmentation of the lumen and bifurcation boundaries of the carotid artery in B-mode ultrasound images. It uses the image contrast characteristics of the lumen and bifurcation of the carotid artery in relation to other tissues and structures for their identification. The relevant ultrasound data regarding the artery presented in the input image is identified using morphologic operators and processed by an anisotropic diffusion filter for speckle noise removal. The information obtained is then used to define two initial contours, one corresponding to the lumen and the other one regarding the bifurcation boundaries, for the application of the Chan-Vese level set segmentation model. A set of longitudinal ultrasound B-mode grayscale images of the common carotid artery was acquired using a GE Healthcare Vivid-e ultrasound system. The results reveal that the new algorithm is effective and robust, and that its main advantage relies on the automatic identification of the carotid lumen, which overcomes the known limitations of the traditional algorithms.

• 出版日期2013-11-15