| Download | - View accepted manuscript: Collagen morphology and texture analysis : from statistics to classification (PDF, 1.8 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1038/srep02190 |
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| Author | Search for: Mostaço-Guidolin, Leila B.1; Search for: Ko, Alex C.-T.1; Search for: Wang, Fei1; Search for: Xiang, Bo1; Search for: Hewko, Mark1; Search for: Tian, Ganghong1; Search for: Major, Arkady; Search for: Shiomi, Masashi; Search for: Sowa, Michael G.1 |
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| Affiliation | - National Research Council of Canada. Medical Devices
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| Format | Text, Article |
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| Subject | SHG, collagen, classification, texture, gray level co-occurance matrix, multiphoton microscopy |
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| Abstract | In this study we present an image analysis methodology capable of quantifying morphological changes in tissue collagen fibril organization caused by pathological conditions. Texture analysis based on first-order statistics (FOS) and second-order statistics such as gray level co-occurrence matrix (GLCM) was explored to extract second-harmonic generation (SHG) image features that are associated with the structural and biochemical changes of tissue collagen networks. Based on these extracted quantitative parameters, multi-group classification of SHG images was performed. With combined FOS and GLCM texture values, we achieved reliable classification of SHG collagen images acquired from atherosclerosis arteries with >90% accuracy, sensitivity and specificity. The proposed methodology can be applied to a wide range of conditions involving collagen re-modeling, such as in skin disorders, different types of fibrosis and muscular-skeletal diseases affecting ligaments and cartilage. |
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| Publication date | 2013-07-12 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21268602 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 58e777b9-73a7-484e-918d-49d5e07f0b9b |
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| Record created | 2013-10-25 |
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| Record modified | 2020-06-04 |
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