Multi-aspect Assessment and Classification of Porous Materials Designed for Tissue Engineering

Conference paper

DOI: 10.1007/978-3-319-59162-9_3

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 578)
Cite this paper as:
Przytulska M., Kulikowski J.L. (2018) Multi-aspect Assessment and Classification of Porous Materials Designed for Tissue Engineering. In: Kurzynski M., Wozniak M., Burduk R. (eds) Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017. CORES 2017. Advances in Intelligent Systems and Computing, vol 578. Springer, Cham

Abstract

The paper presents an approach to classification of porous materials used in biomedicine based on computer-aided analysis of scanning electron microscope images of sections of the examined material. Due to various size and high irregularity of forms of the pores visible in the images selected morphological parameters are used to the description of the samples of the porous material. The space of morphological parameters is automatically divided into porosity classes which are a step to establish the classes of porous material quality, based on suggestions of experts. An approach to verification of the morphological parameters utility to discriminate the materials according to their porosity is also proposed.

Keywords

Porous materials Tissue engineering Image analysis Morphological parameters 

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Małgorzata Przytulska
    • 1
  • Juliusz L. Kulikowski
    • 1
  1. 1.Nalecz Institute of Biocybernetics and Biomedical EngineeringPolish Academy of SciencesWarsawPoland

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