NDLI: Robust Carotid Artery Recognition in Longitudinal B-Mode Ultrasound Images

Content Provider	IEEE Xplore Digital Library
Author	Sifakis, E.G. Golemati, S.
Copyright Year	1992
Abstract	Automatic segmentation of the arterial lumen from ultrasound images is an important task in clinical diagnosis. Carotid artery recognition, the first task in lumen segmentation, should be performed in a fully automated, fast, and reliable way to further facilitate the low-level task of arterial delineation. In this paper, a user-independent, real-time algorithm is introduced for carotid artery localization in longitudinal B-mode ultrasound images. The proposed technique acts directly on the raw image, and exploits basic statistics along with anatomical knowledge. The method's evaluation and parameter value optimization were performed on a threefold cross validation basis. In addition, the introduced algorithm was systematically compared with another algorithm for common carotid artery recognition in B-mode scans, separately for multi-frame and single-frame data. The data sets used included 2,149 images from 100 subjects taken from three different institutions and covering a wide range of possible lumen and surrounding tissue representations. Using the optimized values, the carotid artery was recognized in all the processed images in both multi-frame and single-frame data. Thus, the introduced technique will further reinforce automatic segmentation in longitudinal B-mode ultrasound images.
Sponsorship	IEEE Signal Processing Society
Page Count	11
File Size	3933567
Starting Page	3762
Ending Page	3772
File Format	PDF
ISSN	10577149
Volume Number	23
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Ultrasonic imaging Calcium Carotid arteries Image recognition Robustness Real-time systems ultrasound Lumen recognition carotid artery segmentation
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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