Automation of Bone Tissue Histology | Zendy

Viktoriya V. Yaikova | Zendy; Oleg V. Gerasimov | Zendy; Artur Fedyanin | Zendy; M. A. Zaytsev | Zendy; М. E. Baltin | Zendy; Tatyana Baltina | Zendy; Oskar Sachenkov | Zendy

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Automation of Bone Tissue Histology

Author(s) -

Viktoriya V. Yaikova,

Oleg V. Gerasimov,

Artur Fedyanin,

M. A. Zaytsev,

М. E. Baltin,

Tatyana Baltina,

Oskar Sachenkov

Publication year - 2019

Publication title -

frontiers in physics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.754

H-Index - 31

ISSN - 2296-424X

DOI - 10.3389/fphy.2019.00091

Subject(s) - porosity , grayscale , materials science , histology , biomedical engineering , tomography , automation , computed tomography , computer science , computer vision , physics , composite material , image (mathematics) , medicine , optics , radiology , engineering , pathology , mechanical engineering

In abstract methods of automation of histology of bone structure are considered. Possible inputs are snapshots of a microscope or computed tomography slices. An algorithm is proposed that differentiates object according to their color (or grayscale) and recover morphology topology. Algorithm to separate morphological objects by their dimensions and color parameters was built. Measured parameters are bone surface, bone area, porosity, cortical thickness, canal number, canal area and etc. Additionally was measured the anisotropy properties of the bone tissue: distribution of porosity direction and degree of porosity elongation. A bone example was scanned by computed tomography. All data were measured by the proposed method and the results presented. As an example algorithm of work on computed tomography data is shown in this work.

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