@InProceedings{DeboraGil2002,
author="Debora Gil
and Petia Radeva
and Josefina Mauri",
title="Ivus Segmentation Via a Regularized Curvature Flow",
booktitle="X Congreso Anual de la Sociedad Espa{\~n}ola de Ingenier{\'i}a Biom{\'e}dica CASEIB 2002",
year="2002",
address="Saragossa, Espanya",
pages="133--136",
abstract="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{\textquoteright} 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.",
optnote="IAM;MILAB",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1536), last updated on Fri, 11 Nov 2016 12:20:17 +0100",
file=":http://refbase.cvc.uab.es/files/GRM2002.pdf:PDF"
}