Automation of Bone Tissue Histology

Smirnova, Viktoriya; Gerasimov, Oleg V.; Fedyanin, Artur; Zaytsev, Mikhail A.; Baltin, Maxim; Baltina, Tatyana; Sachenkov, Oskar

doi:10.3389/fphy.2019.00091

Cited by 10 publications

(12 citation statements)

References 34 publications

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“…Sections were stained with hematoxylin-eosin. The histology of bone tissue was analyzed [25,26]. All experiments were performed according to bioethical standards and were approved by the local ethical committee of the Kazan Federal University (Protocol meeting No.2 of May 5, 2015).…”

Section: Methodsmentioning

confidence: 99%

Design and Optimization Lattice Endoprosthesis for Long Bones: Manufacturing and Clinical Experiment

Bolshakov

Raginov

Egorov³

et al. 2020

Materials

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The article is devoted to the construction of lattice endoprosthesis for a long bone. Clinically, the main idea is to design a construction with the ability to improve bone growth. The article presents the algorithm for such a design. The construction should be produced by additive manufacturing. Such an approach allows using not only metallic materials but also ceramics and polymers. The algorithm is based on the influence function as a method to describe the elementary cell geometry. The elementary cell can be described by a number of parameters. The influence function maps the parameters to local stress in construction. Changing the parameters influences the stress distribution in the endoprosthesis. In the paper, a bipyramid was used as an elementary cell. Numerical studies were performed using the finite element method. As a result, manufacturing construction is described. Some problems for different orientations of growth are given. The clinical test was done and histological results were presented.

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Section: Methodsmentioning

confidence: 99%

Design and Optimization Lattice Endoprosthesis for Long Bones: Manufacturing and Clinical Experiment

Bolshakov

Raginov

Egorov³

et al. 2020

Materials

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“…We used a specific algorithm to analyze the CT data. Generally, the algorithm of the analysis can be described as [25,29,31,32]: 1) calculating the binarization threshold; 2) meshing the sample;…”

Section: �mentioning

confidence: 99%

Automatic processing and analysis of the structural properties of bone tissue

et al. 2020

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The volumetric distribution of bone tissue can be analysed in terms of orthotropic medium. In this case, it is important to define the orthotropic directions. Nowadays, computed tomography methods allow getting such information. The method for automation such analysis is presented. Firstly, the threshold of binarization should be calculated. Then the sample should be meshed and each element should be binarized. After that fabric tensor, eigenvalues, eigenvectors and fractional anisotropy can be calculated for each element. Statistical methods were used to analyse the field of the obtained data. Described methods were used on a bone sample. It was shown that for a sample the fabric tensor is constant and the fractional anisotropy is close to zero. That’s means that the medium in the sample was isotropic.

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“…One of them is based on approximating the inhomogeneity by constructing a distribution using the mean intercept length method. With this approach, the physical relations are expressed in terms of the tensor of elastic constants and the fabric tensor (Sachenkov et al, 2016;Kayumov et al, 2018;Yaikova et al, 2019). The next approach is based on reducing the material anisotropy to orthotropy by calculating constants from numerical experiments (Ruess et al, 2012;Ridwan-Pramana et al, 2017;Chikova et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Bone Stress-Strain State Evaluation Using CT Based FEM

et al. 2021

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Nowadays, the use of a digital prototype in numerical modeling is one of the main approaches to calculating the elements of an inhomogeneous structure under the influence of external forces. The article considers a finite element analysis method based on computed tomography data. The calculations used a three-dimensional isoparametric finite element of a continuous medium developed by the authors with a linear approximation, based on weighted integration of the local stiffness matrix. The purpose of this study is to describe a general algorithm for constructing a numerical model that allows static calculation of objects with a porous structure according to its computed tomography data. Numerical modeling was carried out using kinematic boundary conditions. To evaluate the results obtained, computational and postprocessor grids were introduced. The qualitative assessment of the modeling data was based on the normalized error. Three-point bending of bone specimens of the pig forelimbs was considered as a model problem. The numerical simulation results were compared with the data obtained from a physical experiment. The relative error ranged from 3 to 15%, and the crack location, determined by the physical experiment, corresponded to the area where the ultimate strength values were exceeded, determined by numerical modeling. The results obtained reflect not only the effectiveness of the proposed approach, but also the agreement with experimental data. This method turned out to be relatively non-resource-intensive and time-efficient.

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Automation of Bone Tissue Histology

Cited by 10 publications

References 34 publications

Design and Optimization Lattice Endoprosthesis for Long Bones: Manufacturing and Clinical Experiment

Design and Optimization Lattice Endoprosthesis for Long Bones: Manufacturing and Clinical Experiment

Automatic processing and analysis of the structural properties of bone tissue

Bone Stress-Strain State Evaluation Using CT Based FEM

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