Author: Kawasaki Masanori
Publisher: MDPI
E-ISSN: 1424-8220|15|1|979-994
ISSN: 1424-8220
Source: Sensors, Vol.15, Iss.1, 2015-01, pp. : 979-994
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
The instability of carotid and coronary plaques has been reported to be associated with acute coronary syndrome, strokes and other cerebrovascular events. Therefore, recognition of the tissue characteristics of carotid and coronary plaques is important to understand and prevent coronary and cerebral artery disease. Recently, an ultrasound integrated backscatter (IB) technique has been developed. The ultrasound IB power ratio is a function of the difference in acoustic characteristic impedance between the medium and target tissue, and the acoustic characteristic impedance is determined by the density of tissue multiplied by the speed of sound. This concept allows for tissue characterization of carotid and coronary plaques for risk stratification of patients with coronary and cerebral artery disease. Two- and three-dimensional IB color-coded maps for the evaluation of tissue components consist of four major components: fibrous, dense fibrosis, lipid pool and calcification. Although several ultrasound techniques using special mathematical algorithms have been reported, a growing body of literature has shown the reliability and usefulness of the IB technique for the tissue characterization of carotid and coronary plaques. This review summarizes concepts, experimental procedures, image reliability and the application of the IB technique. Furthermore, the IB technique is compared with other techniques.
Related content
Atherosclerotic Calcification Detection: A Comparative Study of Carotid Ultrasound and Cone Beam CT
By Jashari Fisnik Ibrahimi Pranvera Johansson Elias Ahlqvist Jan Arnerlöv Conny Garoff Maria Levring Jäghagen Eva Wester Per Henein Michael Y.
International Journal of Molecular Sciences, Vol. 16, Iss. 8, 2015-08 ,pp. :
By Sarkalkan Nazli Loeve Arjo J. van Dongen Koen W. A. Tuijthof Gabrielle J. M. Zadpoor Amir A.
Sensors, Vol. 15, Iss. 1, 2014-12 ,pp. :