Automated analysis of brachial ultrasound image sequences: Early detection of cardiovascular disease via surrogates of endothelial function

Milan SONKA; Weidong Liang; Ronald M LAUER

doi:10.1109/TMI.2002.806288

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Automated analysis of brachial ultrasound image sequences: Early detection of cardiovascular disease via surrogates of endothelial function

Journal article

Peer reviewed

Automated analysis of brachial ultrasound image sequences: Early detection of cardiovascular disease via surrogates of endothelial function

Milan SONKA, Weidong Liang and Ronald M LAUER

IEEE transactions on medical imaging, Vol.21(10), pp.1271-1279

2002

DOI: 10.1109/TMI.2002.806288

PMID: 12585709

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Abstract

Early detection of cardiovascular disease would allow timely institution of preventive measures. Arterial endothelium play a primary role in processes leading to the development of atherosclerotic plaque and cardiovascular disease in general. Determination of flow-mediated dilatation (FMD) of brachial arteries from B-mode ultrasound image sequences offers a noninvasive surrogate index of endothelial function. A highly automated method for analysis of brachial ultrasound image sequences is reported and its performance assessed. The method overcomes the variability of brachial ultrasound images across subjects by incorporating machine learning and quality control steps. The automated method outperformed conventional manual analysis by providing a decreased analysis bias, increased reproducibility, and improved measurement accuracy. Consequently, it decreases inter- and intraobserver as well interinstitution variability. The method has been employed in a number of population studies with thousands of subjects analyzed.

Cardiovascular System

Ultrasonic investigative techniques

Biological and medical sciences

Investigative techniques, diagnostic techniques (general aspects)

Medical sciences

Details

Title: Subtitle: Automated analysis of brachial ultrasound image sequences: Early detection of cardiovascular disease via surrogates of endothelial function
Creators: Milan SONKA - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, United States
Weidong Liang - Medical Imaging Applications LLC, Iowa City, IA 52242, United States
Ronald M LAUER - Department of Pediatrics, The University of Iowa, Iowa City, IA 52242, United States
Resource Type: Journal article
Publication Details: IEEE transactions on medical imaging, Vol.21(10), pp.1271-1279
DOI: 10.1109/TMI.2002.806288
PMID: 12585709
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers; New York, NY
Language: English
Date published: 2002
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984047782102771

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