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Automated Detection of the Arterial Inner Walls of the Common Carotid Artery Based on Dynamic B-Mode Signals
Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan
Institute of Exercise and Health Sciences, University of Basel, Basel, Switzerland
Department of Neurology, China Medical University Hospital, Taichung, Taiwan
Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan
* Author to whom correspondence should be addressed.
Received: 7 October 2010; in revised form: 12 November 2010 / Accepted: 18 November 2010 / Published: 29 November 2010
Abstract: In this paper we propose a novel scheme able to automatically detect the intima and adventitia of both near and far walls of the common carotid artery in dynamic B-mode RF (radiofrequency) image sequences, with and without plaques. Via this automated system the lumen diameter changes along the heart cycle can be detected. Three image sequences have been tested and all results are compared to manual tracings made by two professional experts. The average errors for near and far wall detection are 0.058 mm and 0.067 mm, respectively. This system is able to analyze arterial plaques dynamically which is impossible to do manually due to the tremendous human workload involved.
Keywords: intima; media; adventitia; CCA; plaque
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Cite This Article
MDPI and ACS Style
Cheng, D.-C.; Schmidt-Trucksäss, A.; Liu, C.-H.; Liu, S.-H. Automated Detection of the Arterial Inner Walls of the Common Carotid Artery Based on Dynamic B-Mode Signals. Sensors 2010, 10, 10601-10619.
Cheng D-C, Schmidt-Trucksäss A, Liu C-H, Liu S-H. Automated Detection of the Arterial Inner Walls of the Common Carotid Artery Based on Dynamic B-Mode Signals. Sensors. 2010; 10(12):10601-10619.
Cheng, Da-Chuan; Schmidt-Trucksäss, Arno; Liu, Chung-Hsiang; Liu, Shing-Hong. 2010. "Automated Detection of the Arterial Inner Walls of the Common Carotid Artery Based on Dynamic B-Mode Signals." Sensors 10, no. 12: 10601-10619.