Ultrasound measurement of brachial flow-mediated vasodilator response

被引:23
作者
Fan, LX
Santago, P
Jiang, H
Herrington, DM
机构
[1] Wake Forest Univ, Bowman Gray Sch Med, Dept Med Engn, Winston Salem, NC 27157 USA
[2] Wake Forest Univ, Bowman Gray Sch Med, Dept Neurobiol & Anat, Winston Salem, NC 27157 USA
[3] Wake Forest Univ, Bowman Gray Sch Med, Cardiol Sect, Dept Internal Med, Winston Salem, NC 27157 USA
关键词
boundary detection; brachial artery; flow-mediated vasodilation; ultrasound;
D O I
10.1109/42.870669
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Brachial artery flow-mediated vasodilation is increasingly used as a measure of endothelial function. High resolution ultrasound provides a noninvasive method to observe this flow-mediated vasodilation by monitoring the diameter of the artery over time following a transient flow stimulus. Since hundreds of ultrasound images are required to continuously monitor brachial diameter for the 2-3 min during which the vasodilator response occurs, an automated diameter estimation is desirable. However, vascular ultrasound images suffer from structural noise caused by the constructive and destructive interference of the backscattered signals, and the true boundaries of interest that define the diameter are frequently obscured by the multiple-layer structure of the vessel wall, These problems make automated diameter estimation strategies based on the detection of the vessel wall boundary difficult. We obtain a robust automated measurement of the vasodilator response by automatically locating the artery using a variable window method, which gives both the lumen center and width. The vessel wall boundary is detected by a global constraint deformable model, which is insensitive to the structural noise in the boundary area, The ambiguity between the desired boundary and other undesired boundaries is resolved by a spatiotemporal strategy. Our method provides excellent reproducibility both for interreader and intrareader analyzes of percent change in diameter, and has been successfully used in analyzing over 4000 brachial flow-mediated vasodilation scans from several medical centers in the United States.
引用
收藏
页码:621 / 631
页数:11
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