Carotid artery ultrasound image segmentation using fuzzy region growing

Authors:
Amr R. Abdel-Dayem;Mahmoud R. El-Sakka
Affiliations:
Computer Science Department, University of Western Ontario, London, Ontario, Canada;Computer Science Department, University of Western Ontario, London, Ontario, Canada
Venue:
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Year:
2005

Citing 10
Cited 7

Fuzzy mathematical approach to pattern recognition

Fuzzy mathematical approach to pattern recognition
A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
On active contour models and balloons

CVGIP: Image Understanding
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation

Graphical Models and Image Processing
Ziplock Snakes

International Journal of Computer Vision
Digital Image Processing

Digital Image Processing
Real-Time Extraction of Carotid Artery Contours from Ultrasound Images

CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
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
Watershed segmentation for carotid artery ultrasound images

AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications

Diffusion-Based Detection of Carotid Artery Lumen from Ultrasound Images

ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
A soft computing approach for obtaining transition regions in satellite images

ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Detection of arterial lumen in sonographic images based on active contours and diffusion filters

ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Fuzzy C-means clustering for segmenting carotid artery ultrasound images

ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Carotid ultrasound segmentation using DP active contours

ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Carotid artery image segmentation using modified spatial fuzzy c-means and ensemble clustering

Computer Methods and Programs in Biomedicine
A novel automatic algorithm for the segmentation of the lumen of the carotid artery in ultrasound B-mode images

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a new scheme for extracting the contour of the carotid artery using ultrasound images. Starting from a user defined seed point within the artery, the scheme uses the fuzzy region growing algorithm to create a fuzzy connectedness map for the image. Then, the fuzzy connectedness map is thresholded using a threshold selection mechanism to segment the area inside the artery. Experimental results demonstrated the efficiency of the proposed scheme in segmenting carotid artery ultrasound images, and it is insensitive to the seed point location, as long as it is located inside the artery.