%0 Conference Proceedings
%T Ivus Segmentation Via a Regularized Curvature Flow
%A Debora Gil
%A Petia Radeva
%A Josefina Mauri
%B X Congreso Anual de la Sociedad Española de Ingeniería Biomédica CASEIB 2002
%D 2002
%C Saragossa, Espanya
%F Debora Gil2002
%O IAM;MILAB
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1536), last updated on Fri, 11 Nov 2016 12:20:17 +0100
%X Cardiac diseases are diagnosed and treated through a study of the morphology and dynamics of cardiac arteries. In- travascular Ultrasound (IVUS) imaging is of high interest to physicians since it provides both information. At the current state-of-the-art in image segmentation, a robust detection of the arterial lumen in IVUS demands manual intervention or ECG-gating. Manual intervention is a tedious and time consuming task that requires experienced observers, meanwhile ECG-gating is an acquisition technique not available in all clinical centers. We introduce a parametric algorithm that detects the arterial luminal border in in vivo sequences. The method consist in smoothing the sequences’ level surfaces under a regularized mean curvature flow that admits non-trivial steady states. The flow is based on a measure of the surface local smoothness that takes into account regularity of the surface curvature.
%U http://refbase.cvc.uab.es/files/GRM2002.pdf
%P 133-136