TY  - CONF
AU  - Debora Gil
AU  - Petia Radeva
AU  - Josefina Mauri
PY  - 2002//
TI  - Ivus Segmentation Via a Regularized Curvature Flow
BT  - X Congreso Anual de la Sociedad Española de Ingeniería Biomédica CASEIB 2002
SP  - 133
EP  - 136
CY  - Saragossa, Espanya
N2  - 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.
L1  - http://refbase.cvc.uab.es/files/GRM2002.pdf
N1  - IAM;MILAB
ID  - Debora Gil2002
ER  -