User-guided automated segmentation of time-series ultrasound images for measuring vasoreactivity of the brachial artery induced by flow mediation

Chandra M. Sehgal; Yen Hong Kao; Ted W. Cary; Peter H. Arger M.D.; Emile R. Mohler M.D.

doi:10.1117/12.595359

12 April 2005 User-guided automated segmentation of time-series ultrasound images for measuring vasoreactivity of the brachial artery induced by flow mediation

Chandra M. Sehgal, Yen Hong Kao, Ted W. Cary, Peter H. Arger M.D., Emile R. Mohler M.D.

Author Affiliations +

Proceedings Volume 5750, Medical Imaging 2005: Ultrasonic Imaging and Signal Processing; (2005) https://doi.org/10.1117/12.595359
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

Endothelial dysfunction in response to vasoactive stimuli is closely associated with diseases such as atherosclerosis, hypertension and congestive heart failure. The current method of using ultrasound to image the brachial artery along the longitudinal axis is insensitive for measuring the small vasodilatation that occurs in response to flow mediation. The goal of this study is to overcome this limitation by using cross-sectional imaging of the brachial artery in conjunction with the User-Guided Automated Boundary Detection (UGABD) algorithm for extracting arterial boundaries. High-resolution ultrasound imaging was performed on rigid plastic tubing, on elastic rubber tubing phantoms with steady and pulsatile flow, and on the brachial artery of a healthy volunteer undergoing reactive hyperemia. The area of cross section of time-series images was analyzed by UGABD by propagating the boundary from one frame to the next. The UGABD results were compared by linear correlation with those obtained by manual tracing. UGABD measured the cross-sectional area of the phantom tubing to within 5% of the true area. The algorithm correctly detected pulsatile vasomotion in phantoms and in the brachial artery. A comparison of area measurements made using UGABD with those made by manual tracings yielded a correlation of 0.9 and 0.8 for phantoms and arteries, respectively. The peak vasodilatation due to reactive hyperemia was two orders of magnitude greater in pixel count than that measured by longitudinal imaging. Cross-sectional imaging is more sensitive than longitudinal imaging for measuring flow-mediated dilatation of brachial artery, and thus may be more suitable for evaluating endothelial dysfunction.

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Chandra M. Sehgal, Yen Hong Kao, Ted W. Cary, Peter H. Arger M.D., and Emile R. Mohler M.D. "User-guided automated segmentation of time-series ultrasound images for measuring vasoreactivity of the brachial artery induced by flow mediation", Proc. SPIE 5750, Medical Imaging 2005: Ultrasonic Imaging and Signal Processing, (12 April 2005); https://doi.org/10.1117/12.595359

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KEYWORDS

Arteries

Ultrasonography

Image segmentation

Transducers

Detection and tracking algorithms

Heart

Image analysis

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