Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images

Abstract

This paper presents a 4D (3Dþ time) echocardiographic image anisotropic filtering and a 3D model-based segmentation system. To improve the extraction of left ventricle boundaries, we rely on two preprocessing stages. First, we apply an anisotropic filter that reduces image noise. This 4D filter takes into account the spatial and temporal nature of… (More)
DOI: 10.1016/S0167-8655(02)00184-8

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@article{Montagnat2003AnisotropicFF, title={Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images}, author={Johan Montagnat and Maxime Sermesant and Herv{\'e} Delingette and Gr{\'e}goire Malandain and Nicholas Ayache}, journal={Pattern Recognition Letters}, year={2003}, volume={24}, pages={815-828} }