Quantitative Morphometry for Osteochondral Tissues Using Second Harmonic Generation Microscopy and Image Texture Information

Abstract Osteoarthritis (OA) is a chronic joint disorder involving degeneration of articular cartilage and subchondral bone in joints. We previously established a second harmonic generation (SHG) imaging technique for evaluating degenerative changes to articular cartilage in an OA mouse model. SHG i...

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Autores principales:	Takashi Saitou, Hiroshi Kiyomatsu, Takeshi Imamura
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/90dbae1df58543c1a462d5489c64bc05
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spelling	oai:doaj.org-article:90dbae1df58543c1a462d5489c64bc052021-12-02T15:08:57ZQuantitative Morphometry for Osteochondral Tissues Using Second Harmonic Generation Microscopy and Image Texture Information10.1038/s41598-018-21005-92045-2322https://doaj.org/article/90dbae1df58543c1a462d5489c64bc052018-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-21005-9https://doaj.org/toc/2045-2322Abstract Osteoarthritis (OA) is a chronic joint disorder involving degeneration of articular cartilage and subchondral bone in joints. We previously established a second harmonic generation (SHG) imaging technique for evaluating degenerative changes to articular cartilage in an OA mouse model. SHG imaging, an optical label-free technique, enabled observation of collagen fibrils, and characterized critical changes in the collagenous patterns of the joints. However, it still remains to be determined how morphological changes in the organization of tissue collagen fibrils should be quantified. In this study, we addressed this issue by employing an approach based on texture analysis. Image texture analysis using the gray level co-occurrence matrix was explored to extract image features. We investigated an image patch-based strategy, in which texture features were extracted on individual patches derived from original images to capture local structural patterns in them. We verified that this analysis enables discrimination of cartilaginous and osseous tissues in mouse joints. Moreover, we applied this method to OA cartilage pathology assessment, and observed improvements in the performance results compared with those obtained using an existing feature descriptor. The proposed approach can be applied to a wide range of conditions associated with collagen remodeling and diseases of cartilage and bone.Takashi SaitouHiroshi KiyomatsuTakeshi ImamuraNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-14 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Takashi Saitou Hiroshi Kiyomatsu Takeshi Imamura Quantitative Morphometry for Osteochondral Tissues Using Second Harmonic Generation Microscopy and Image Texture Information
description	Abstract Osteoarthritis (OA) is a chronic joint disorder involving degeneration of articular cartilage and subchondral bone in joints. We previously established a second harmonic generation (SHG) imaging technique for evaluating degenerative changes to articular cartilage in an OA mouse model. SHG imaging, an optical label-free technique, enabled observation of collagen fibrils, and characterized critical changes in the collagenous patterns of the joints. However, it still remains to be determined how morphological changes in the organization of tissue collagen fibrils should be quantified. In this study, we addressed this issue by employing an approach based on texture analysis. Image texture analysis using the gray level co-occurrence matrix was explored to extract image features. We investigated an image patch-based strategy, in which texture features were extracted on individual patches derived from original images to capture local structural patterns in them. We verified that this analysis enables discrimination of cartilaginous and osseous tissues in mouse joints. Moreover, we applied this method to OA cartilage pathology assessment, and observed improvements in the performance results compared with those obtained using an existing feature descriptor. The proposed approach can be applied to a wide range of conditions associated with collagen remodeling and diseases of cartilage and bone.
format	article
author	Takashi Saitou Hiroshi Kiyomatsu Takeshi Imamura
author_facet	Takashi Saitou Hiroshi Kiyomatsu Takeshi Imamura
author_sort	Takashi Saitou
title	Quantitative Morphometry for Osteochondral Tissues Using Second Harmonic Generation Microscopy and Image Texture Information
title_short	Quantitative Morphometry for Osteochondral Tissues Using Second Harmonic Generation Microscopy and Image Texture Information
title_full	Quantitative Morphometry for Osteochondral Tissues Using Second Harmonic Generation Microscopy and Image Texture Information
title_fullStr	Quantitative Morphometry for Osteochondral Tissues Using Second Harmonic Generation Microscopy and Image Texture Information
title_full_unstemmed	Quantitative Morphometry for Osteochondral Tissues Using Second Harmonic Generation Microscopy and Image Texture Information
title_sort	quantitative morphometry for osteochondral tissues using second harmonic generation microscopy and image texture information
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/90dbae1df58543c1a462d5489c64bc05
work_keys_str_mv	AT takashisaitou quantitativemorphometryforosteochondraltissuesusingsecondharmonicgenerationmicroscopyandimagetextureinformation AT hiroshikiyomatsu quantitativemorphometryforosteochondraltissuesusingsecondharmonicgenerationmicroscopyandimagetextureinformation AT takeshiimamura quantitativemorphometryforosteochondraltissuesusingsecondharmonicgenerationmicroscopyandimagetextureinformation
_version_	1718387952670736384

Quantitative Morphometry for Osteochondral Tissues Using Second Harmonic Generation Microscopy and Image Texture Information

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