Automatic detection of the carotid artery boundary on cross-sectional MR image sequences using a circle model guided dynamic programming |
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| Authors: | Da-Chuan Cheng Christian Billich Shing-Hong Liu Horst Brunner Yi-Chen Qiu Yu-Lin Shen Hans Jürgen Brambs Arno Schmidt-Trucksäss Uwe HW Schütz |
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| Affiliation: | (1) Department of Biomedical Imaging and Radiological Science, China Medical University, Kaohsiung, Taiwan;(2) Department of Diagnostic and Interventional Radiology, University Hospital of Ulm, Ulm, Germany;(3) Department of Computer Science and Information Engineering, Chaoyang University of Technology, Chaoyang, Taiwan;(4) Institute of Exercise and Health Sciences, Sports Medicine, Vascular lab, University Basel, Basel, Switzerland |
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| Abstract: | Background Systematic aerobe training has positive effects on the compliance of dedicated arterial walls. The adaptations of the arterial structure and function are associated with the blood flow-induced changes of the wall shear stress which induced vascular remodelling via nitric oxide delivered from the endothelial cell. In order to assess functional changes of the common carotid artery over time in these processes, a precise measurement technique is necessary. Before this study, a reliable, precise, and quick method to perform this work is not present. |
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