@InProceedings{JoseSeabra2010,
author="Jose Seabra
and F. Javier Sanchez
and Francesco Ciompi
and Petia Radeva",
title="Ultrasonographic Plaque Characterization using a Rayleigh Mixture Model",
booktitle="7th IEEE International Symposium on Biomedical Imaging",
year="2010",
pages="1--4",
abstract="From Nano to MacroA correct modelling of tissue morphology is determinant for the identification of vulnerable plaques. This paper aims at describing the plaque composition by means of a Rayleigh Mixture Model applied to ultrasonic data. The effectiveness of using a mixture of distributions is established through synthetic and real ultrasonic data samples. Furthermore, the proposed mixture model is used in a plaque classification problem in Intravascular Ultrasound (IVUS) images of coronary plaques. A classifier tested on a set of 67 in-vitro plaques, yields an overall accuracy of 86\% and sensitivity of 92\%, 94\% and 82\%, for fibrotic, calcified and lipidic tissues, respectively. These results strongly suggest that different plaques types can be distinguished by means of the coefficients and Rayleigh parameters of the mixture distribution.",
optnote="MILAB",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1366), last updated on Thu, 20 Feb 2014 10:16:45 +0100",
isbn="978-1-4244-4125-9",
issn="1945-7928",
doi="10.1109/ISBI.2010.5490428",
opturl="10.1109/ISBI.2010.5490428"
}