On active contour models and balloons
CVGIP: Image Understanding
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)
Deformable models with application to human cerebral cortex reconstruction from magnetic resonance images
Watershed segmentation for carotid artery ultrasound images
AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
Carotid artery ultrasound image segmentation using fuzzy region growing
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Optical flow active contours with primitive shape priors for echocardiography
EURASIP Journal on Advances in Signal Processing - Image processing and analysis in biomechanics
SRAD and optical flow based external energy for echocardiograms with primitive shape priors
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Gallbladder boundary segmentation from ultrasound images using active contour model
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Gallbladder segmentation in 2-D ultrasound images using deformable contour methods
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
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
Computer Methods and Programs in Biomedicine
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Ultrasound provides a non-invasive means for visualizing various tissues within the human body. However, these visualizations tend to be filled with speckle noise and other artifacts, due to the sporadic nature of high frequency sound waves. Many techniques for segmenting ultrasound images have been introduced in order to deal with these problems. One such technique is the active contouring. In this paper, two proposed alterations to the dynamic programming parametric active contour model (or snake) are introduced. The first alteration allows the snake to converge to the one-response result of a modified Canny edge detector. The second provides a function that allows a user to preset apriori knowledge about a given object being detected, by means of curve fitting and energy modification. The results yield accurate segmentations of crosssectional transverse carotid artery ultrasound images that are validated by an independent clinical radiologist. Utilizing the proposed alterations leads to a reduction of clinician interaction time while maintaining an acceptable level of accuracy for varying measures such as percent stenosis.