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Fast Edge-Preserving Filtering for 3D+t Echocardiographic Volume Rendering

A novel edge-preserving filtering method based on unsupervised clustering within the joint four-dimensional location-intensity space of volume echocardiographic data is presented. A vector codebook, formed by vectors that lie close to the modes of the joint data distribution is derived through an iterative vector quantization procedure. Distribution estimates are non-parametric, kernel based, and thus the quality of the quantization can be controlled by adequate choice of the kernel parameters