@Article{DeboraGil2011,
author="Debora Gil
and Aura Hernandez-Sabate
and Mireia Brunat
and Steven Jansen
and Jordi Martinez-Vilalta",
title="Structure-preserving smoothing of biomedical images",
journal="Pattern Recognition",
year="2011",
volume="44",
number="9",
pages="1842--1851",
optkeywords="Non-linear smoothing",
optkeywords="Differential geometry",
optkeywords="Anatomical structures",
optkeywords="segmentation",
optkeywords="Cardiac magnetic resonance",
optkeywords="Computerized tomography",
abstract="Smoothing of biomedical images should preserve gray-level transitions between adjacent tissues, while restoring contours consistent with anatomical structures. Anisotropic diffusion operators are based on image appearance discontinuities (either local or contextual) and might fail at weak inter-tissue transitions. Meanwhile, the output of block-wise and morphological operations is prone to present a block structure due to the shape and size of the considered pixel neighborhood. In this contribution, we use differential geometry concepts to define a diffusion operator that restricts to image consistent level-sets. In this manner, the final state is a non-uniform intensity image presenting homogeneous inter-tissue transitions along anatomical structures, while smoothing intra-structure texture. Experiments on different types of medical images (magnetic resonance, computerized tomography) illustrate its benefit on a further process (such as segmentation) of images.",
optnote="IAM; ADAS",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1526), last updated on Thu, 22 May 2014 17:31:44 +0200",
issn="0031-3203",
doi="10.1016/j.patcog.2010.08.003",
file=":http://refbase.cvc.uab.es/files/GHB2011.pdf:PDF"
}