Structure-preserving smoothing of biomedical images

Authors:
Debora Gil;Aura Herníndez-Sabaté;Mireia Brunat;Steven Jansen;Jordi Martínez-Vilalta
Affiliations:
Computer Vision Center, Computer Science Department, UAB, Bellaterra, Spain;Computer Vision Center, Computer Science Department, UAB, Bellaterra, Spain;Instituto de Bioquímica Vegetal y Fotosíntesis, CSIC-Univ. Sevilla, Sevilla, Spain;Institute of Systematic Botany and Ecology, Ulm University, Germany;CREAF/Ecology Unit, UAB, Bellaterra, Spain
Venue:
Pattern Recognition
Year:
2011

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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.