Ultrasound assessment of endothelial function in real-time (Honorable Mention Poster Award)

The characterization of the endothelial function is one of the most attractive research topics in modern vascular medicine. The evaluation of the flow-mediated vasodilation (FMD) of the brachial artery is a widely used measurement technique. Despite its widespread use, this technique has some limitations due to the difficulties in obtaining an accurate measurement of such a small vessel (3 to 5 mm) by using ultrasounds. The system we present in this paper can automatically measure the diameter of the artery with high accuracy on each image of a video sequence. Furthermore, it processes the data in real-time, thus providing the physician with an immediate response while the examination is still in progress. The main part of the system is a video processing board based on a state-of-the-art digital signal processor (DSP). The board acquires the video signal generated by the ultrasound equipment which furnishes a longitudinal section of the artery vessel. For each image, the DSP automatically locates the two borders of the vessel and subsequently computes the diameter. The algorithm used to automatically locate the borders of the vessel is based on a new operator of edge detection which was derived from the first absolute central moment. Tests in many clinical centers proved that the system provides very accurate measurements and is a remarkable step forward toward a more systematic evaluation of the FMD.

[1]  Milan Sonka,et al.  Automated analysis of brachial ultrasound image sequences: early detection of cardiovascular disease via surrogates of endothelial function , 2002, IEEE Transactions on Medical Imaging.

[2]  Marcello Demi,et al.  Real time contour tracking with a new edge detector , 2004, Real Time Imaging.

[3]  T. Lüscher,et al.  The pathogenesis of cardiovascular disease: role of the endothelium as a target and mediator. , 1995, Atherosclerosis.

[4]  F Beux,et al.  Automatic evaluation of arterial diameter variation from vascular echographic images. , 2001, Ultrasound in medicine & biology.

[5]  S. Verma,et al.  Endothelial function testing as a biomarker of vascular disease. , 2003, Circulation.

[6]  V R Newey,et al.  Online artery diameter measurement in ultrasound images using artificial neural networks. , 2002, Ultrasound in medicine & biology.

[7]  Alejandro F. Frangi,et al.  A registration-based approach to quantify flow-mediated dilation (FMD) of the brachial artery in ultrasound image sequences , 2003, IEEE Transactions on Medical Imaging.

[8]  J. K. Lloyd,et al.  Non-invasive detection of endothelial dysfunction in children and adults at risk of atherosclerosis , 1992, The Lancet.

[9]  D. Playford,et al.  Improved analysis of brachial artery ultrasound using a novel edge-detection software system. , 2001, Journal of applied physiology.

[10]  E. Benjamin,et al.  Guidelines for the ultrasound assessment of endothelial-dependent flow-mediated vasodilation of the brachial artery: a report of the International Brachial Artery Reactivity Task Force. , 2002, Journal of the American College of Cardiology.

[11]  David M. Herrington,et al.  Ultrasound measurement of brachial flow-mediated vasodilator response , 2000, IEEE Transactions on Medical Imaging.

[12]  R. Ross Atherosclerosis is an inflammatory disease , 1999 .