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Anisotropy Estimation of Trabecular Bone in Gray-Scale: Comparison Between Cone Beam and Micro Computed Tomography Data
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0001-5765-2964
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Arts and Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9267-2191
Linköping University, Department of Medical and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Karolinska Institutet.
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2015 (English)In: Developments in Medical Image Processing and Computational Vision / [ed] João Manuel R.S. Tavares and Renato Natal Jorge, Springer, 2015, 207-220 p.Chapter in book (Refereed)
Abstract [en]

Measurement of anisotropy of trabecular bone has clinical relevance in osteoporosis. In this study, anisotropy measurements of 15 trabecular bone biopsies from the radius estimated by different fabric tensors on images acquired through cone beam computed tomography (CBCT) and micro computed tomography (micro-CT) were compared. The results show that the generalized mean intercept length (MIL) tensor performs better than the global gray-scale structure tensor, especially when the von Mises-Fisher kernel is applied. Also, the generalized MIL tensor yields consistent results between the two scanners. These results suggest that this tensor is appropriate for estimating anisotropy in images acquired in vivo through CBCT. 

Place, publisher, year, edition, pages
Springer, 2015. 207-220 p.
Series
Lecture Notes in Computational Vision and Biomechanics, ISSN 2212-9391 ; 19
National Category
Medical Image Processing Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-117950DOI: 10.1007/978-3-319-13407-9_13ISBN: 978-3-319-13406-2 (print)ISBN: 978-3-319-13407-9 (print)OAI: oai:DiVA.org:liu-117950DiVA: diva2:812396
Available from: 2015-05-18 Created: 2015-05-18 Last updated: 2015-07-10Bibliographically approved

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Moreno, RodrigoBorga, MagnusKlintström, EvaSmedby, Örjan
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Division of Radiological SciencesFaculty of Medicine and Health SciencesCenter for Medical Image Science and Visualization (CMIV)Medical InformaticsFaculty of Arts and SciencesDepartment of Medical and Health SciencesDepartment of Radiology in Linköping
Medical Image ProcessingRadiology, Nuclear Medicine and Medical Imaging

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