A. Valentinitsch, J. Patsch, D. Mueller, F. Kainberger, G. Langs
{"title":"Texture analysis in quantitative osteoporosis assessment: Characterizing microarchitecture","authors":"A. Valentinitsch, J. Patsch, D. Mueller, F. Kainberger, G. Langs","doi":"10.1109/ISBI.2010.5490250","DOIUrl":null,"url":null,"abstract":"The microarchitecture of the trabecular bone is an highly informative feature for osteoporosis assessment. High resolution peripheral quantitative computed tomography permits its in-vivo observation at a resolution of 82 µm. In this paper we propose an approach that assesses bone microarchitecture based on texture features extracted from the trabecular bone. The method is based on three-dimensional texture features as local descriptors of the structure in the trabecular bone. A clustering in the feature space indicates characteristic classes of microarchitecture that are repeatedly detected across subjects. The distribution of those classes allows for a differentiation between osteoporotic and healthy subjects. We report initial results for the repeatability of the method and its performance for the differentiation of healthy and osteoporotic subjects.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBI.2010.5490250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The microarchitecture of the trabecular bone is an highly informative feature for osteoporosis assessment. High resolution peripheral quantitative computed tomography permits its in-vivo observation at a resolution of 82 µm. In this paper we propose an approach that assesses bone microarchitecture based on texture features extracted from the trabecular bone. The method is based on three-dimensional texture features as local descriptors of the structure in the trabecular bone. A clustering in the feature space indicates characteristic classes of microarchitecture that are repeatedly detected across subjects. The distribution of those classes allows for a differentiation between osteoporotic and healthy subjects. We report initial results for the repeatability of the method and its performance for the differentiation of healthy and osteoporotic subjects.