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Proceedings Paper

Combined statistical analysis of vasodilation and flow curves in brachial ultrasonography: technique and its connection to cardiovascular risk factors
Author(s): Loic Boisrobert; Martin Laclaustra; Matias Bossa; Andres G. Frangi; Alejandro F. Frangi
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Paper Abstract

Clinical studies report that impaired endothelial function is associated with Cardio-Vascular Diseases (CVD) and their risk factors. One commonly used mean for assessing endothelial function is Flow-Mediated Dilation (FMD). Classically, FMD is quantified using local indexes e.g. maximum peak dilation. Although such parameters have been successfully linked to CVD risk factors and other clinical variables, this description does not consider all the information contained in the complete vasodilation curve. Moreover, the relation between flow impulse and the vessel vasodilation response to this stimulus, although not clearly known, seems to be important and is not taken into account in the majority of studies. In this paper we propose a novel global parameterization for the vasodilation and the flow curves of a FMD test. This parameterization uses Principal Component Analysis (PCA) to describe independently and jointly the variability of flow and FMD curves. These curves are obtained using computerized techniques (based on edge detection and image registration, respectively) to analyze the ultrasound image sequences. The global description obtained through PCA yields a detailed characterization of the morphology of such curves allowing the extraction of intuitive quantitative information of the vasodilation process and its interplay with flow changes. This parameterization is consistent with traditional measurements and, in a database of 177 subjects, seems to correlate more strongly (and with more clinical parameters) than classical measures to CVD risk factors and clinical parameters such as LDL- and HDL-Cholesterol.

Paper Details

Date Published: 12 April 2005
PDF: 10 pages
Proc. SPIE 5750, Medical Imaging 2005: Ultrasonic Imaging and Signal Processing, (12 April 2005); doi: 10.1117/12.594792
Show Author Affiliations
Loic Boisrobert, Pompeu Fabra Univ. (Spain)
Martin Laclaustra, Univ. of Clinical Hospital Lozano Blesa (Spain)
Matias Bossa, Univ. of Zaragoza (Spain)
Andres G. Frangi, Univ. of Clinical Hospital Lozano Blesa (Spain)
Alejandro F. Frangi, Pompeu Fabra Univ. (Spain)


Published in SPIE Proceedings Vol. 5750:
Medical Imaging 2005: Ultrasonic Imaging and Signal Processing
William F. Walker; Stanislav Y. Emelianov, Editor(s)

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