Texture-based echocardiographic segmentation using a non-parametric estimator and an active contour model.
An accurate segmentation of cardiac cavities is necessary to assess cardiac function and to determine quantitative parameters. Several semi-automatic techniques have been tested to achieve this goal. In this work we propose an algorithm to segment cardiac structures, based on a robust pre-processing step that eliminates noise and extracts an initial frontier, together with a refined deformable model, that integrates edge confidence and texture information. Results show that a combination of a mean-shift filter with an active contour model is adequate for echographic images, especially when texture information is included.
Valdes-Cristerna
R
R
Department of Electrical Engineering, Universidad Autonoma Metropolitana, Iztapalapa, Mexico.
Jimenez
J R
JR
Yanez-Suarez
O
O
Lerallut
J F
JF
Medina
V
V