%0 Conference Proceedings
%T Conditional Random Fields for image segmentation in Intravascular Ultrasound
%A Francesco Ciompi
%A Oriol Pujol
%A E Fernandez-Nofrerias
%A J. Mauri
%A Petia Radeva
%B Medical Image Computing in Catalunya: Graduate Student Workshop
%D 2010
%F Francesco Ciompi2010
%O MILAB;HUPBA
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1453), last updated on Thu, 18 Jan 2018 11:59:52 +0100
%X We present a Conditional Random Fields based approach for segmenting Intravascular Ultrasond (IVUS) images. The presented method uses a contextual discriminative graphical model to deal with the presence of distorsions and artifacts in IVUS images, that turns the segmentation of interesting regions into a difficult task. An accurate lumen segmentation on IVUS longitudinal images is achieved.
%P 13–14