КФУ. Карточка публикации. Automation of bone tissue histology

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AUTOMATION OF BONE TISSUE HISTOLOGY

Форма представления

Зарубежные монографии

Год публикации

2019

Авторы, сотрудники КФУ

Герасимов Олег Владимирович, автор

Саченков Оскар Александрович, автор

Авторы, студенты КФУ

Яикова Виктория Владимировна, автор

Библиографическое описание на языке оригинала

In abstract methods of automation of histology of bone structure are considered. Possible inputs are 13 snapshots of quantitative phase imaging or scanning electron microscope or computed tomography slices. An algorithm is proposed that differentiates object according to their color (or gray scale) 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. Bone example was scanned by computed tomography. All data was measured by proposed method and results presented. Some analyze of data for different measurements was done.

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https://repository.kpfu.ru/?p_id=212440

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Герасимов Олег Владимирович	ru_RU
dc.contributor.author	Саченков Оскар Александрович	ru_RU
dc.contributor.author	Яикова Виктория Владимировна	ru_RU
dc.date.accessioned	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	In abstract methods of automation of histology of bone structure are considered. Possible inputs are 13 snapshots of quantitative phase imaging or scanning electron microscope or computed tomography slices. An algorithm is proposed that differentiates object according to their color (or gray scale) 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. Bone example was scanned by computed tomography. All data was measured by proposed method and results presented. Some analyze of data for different measurements was done.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=212440	ru_RU
dc.language.iso	ru	ru_RU
dc.title	Automation of bone tissue histology	ru_RU
dc.type	Зарубежные монографии	ru_RU