title: Fast edge-preserving filtering for 3D+t echocardiographic volume rendering.
abstract: 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.
authors.affiliation: Department of Electrical Engineering, Universidad Autonoma Metropolitana-Iztapalapa, Mexico City, Mexico. yaso@xanum.uam.mx
authors.forename: Oscar
authors.initials: O
authors.lastname: Yanez-Suarez
authors.forename: Jean François
authors.initials: JF
authors.lastname: Lerallut
mesh_terms: D000465:Algorithms; D019560:Echocardiography, Three-Dimensional / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted