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MICCAI
2009
Springer

ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences

10 years 7 months ago
ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences
The measure of lumen volume on radial arteries can be used to evaluate the vessel response to different vasodilators. In this paper, we present a framework for automatic lumen segmentation in longitudinal cut images of radial artery from Intravascular ultrasound sequences. The segmentation is tackled as a classification problem where the contextual information is exploited by means of Conditional Random Fields (CRFs). A multi-class classification framework is proposed, and inference is achieved by combining binary CRFs according to the Error-CorrectingOutput-Code technique. The results are validated against manually segmented sequences. Finally, the method is compared with other state-ofthe-art classifiers.
Francesco Ciompi, Oriol Pujol, Eduard Ferná
Added 05 Mar 2010
Updated 08 Mar 2010
Type Conference
Year 2009
Where MICCAI
Authors Francesco Ciompi, Oriol Pujol, Eduard Fernández-Nofrerías, Josepa Mauri, Petia Radeva
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