Abstract
In this paper we present a methodology for the automatic detection of media-adventitia border (MAb) in Intravascular Ultrasound. A robust computation of the MAb is achieved through a holistic approach where the position of the MAb with respect to other tissues of the vessel is used. A learned quality measure assures that the resulting MAb is optimal with respect to all other tissues. The mean distance error computed through a set of 140 images is 0.2164 (±0.1326) mm. © 2011 Springer-Verlag.
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CITATION STYLE
Ciompi, F., Pujol, O., Gatta, C., Carrillo, X., Mauri, J., & Radeva, P. (2011). A Holistic approach for the detection of media-adventitia border in IVUS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6893 LNCS, pp. 411–419). https://doi.org/10.1007/978-3-642-23626-6_51
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