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

Authors:
André Miguel F. Santos;Rosa Maria Dos Santos;Pedro Miguel A. C. Castro;Elsa Azevedo;LuíSa Sousa;JoãO Manuel R. S. Tavares
Affiliations:
Instituto de Engenharia Mecínica e Gestão Industrial, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal;Departamento de Neurologia, Hospital São João, Faculdade de Medicina, Universidade do Porto, Alameda Professor Herníni Monteiro, 4200-319 Porto, Portugal;Departamento de Neurologia, Hospital São João, Faculdade de Medicina, Universidade do Porto, Alameda Professor Herníni Monteiro, 4200-319 Porto, Portugal;Departamento de Neurologia, Hospital São João, Faculdade de Medicina, Universidade do Porto, Alameda Professor Herníni Monteiro, 4200-319 Porto, Portugal;Instituto de Engenharia Mecínica (IDMEC-Polo FEUP), Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal;Instituto de Engenharia Mecínica e Gestão Industrial, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

Citing 13
Cited 0

Scale-Space and Edge Detection Using Anisotropic Diffusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Detection of the Intimal and the Adventitial Layers of the Common Carotid Artery Wall in Ultrasound B-Mode Images Using Snakes

ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systems

Expert Systems with Applications: An International Journal
An expert system based on least square support vector machines for diagnosis of the valvular heart disease

Expert Systems with Applications: An International Journal
Segmentation of the carotid intima-media region in B-mode ultrasound images

Image and Vision Computing
Segmentation of ultrasound images of the carotid using RANSAC and cubic splines

Computer Methods and Programs in Biomedicine
Acquisition of three-dimensional information of brain structures using endoneurosonography

Expert Systems with Applications: An International Journal
Geometric Active Contour Model and its Application to Carotid Plaque Detection

ICBMI '11 Proceedings of the 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation
Automatic Detection of the Intima-Media Layer in Ultrasound Common Carotid Artery Image Based on Active Contour Model

ICBMI '11 Proceedings of the 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation
Carotid artery ultrasound image segmentation using fuzzy region growing

ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Segmentation of ultrasonic images of the carotid

ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
An Integrated System for the Segmentation of Atherosclerotic Carotid Plaque

IEEE Transactions on Information Technology in Biomedicine
Localizing Region-Based Active Contours

IEEE Transactions on Image Processing

Quantified Score

Hi-index	12.05

Visualization

Abstract

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.