CNN‐based spatio‐temporal nonlinear filtering and endocardial boundary detection in echocardiography

@article{Rekeczky1999CNNbasedSN,
  title={CNN‐based spatio‐temporal nonlinear filtering and endocardial boundary detection in echocardiography},
  author={Csaba Rekeczky and {\'A}d{\'a}m Tahy and Zolt{\'a}n V{\'e}gh and Tam{\'a}s Roska},
  journal={I. J. Circuit Theory and Applications},
  year={1999},
  volume={27},
  pages={171-207}
}
In this paper, a CNN based spatio-temporal approach is introduced for finding the endocardial (inner) boundary of the left ventricle from a sequence of echocardiographic images. The discussed analogic1 CNN algorithm combines optimal nonlinear filtering and constrained wave propagation in order to estimate the continuous contour of a moving object in a medium where the edges are ill-defined. In the preprocessing phase, nonlinear filtering is employed to remove the coherent speckle noise that… CONTINUE READING