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On the Efficiency of the Mean Intercept Length Tensor
Linköping University, Center for Medical Image Science and Visualization, CMIV. Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Health Sciences.ORCID iD: 0000-0001-5765-2964
Linköping University, Center for Medical Image Science and Visualization, CMIV. Linköping University, Department of Medical and Health Sciences, Radiology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Centre for Diagnostics, Department of Radiology in Linköping.ORCID iD: 0000-0002-7750-1917
Linköping University, Center for Medical Image Science and Visualization, CMIV. Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9267-2191
2011 (English)Conference paper, Oral presentation only (Other academic)
Abstract [en]

The Mean Intercept Length tensor is one of the most used techniques to estimate microstructure orientation and anisotropy of materials from 2D or 3D binary images. This paper proposes an efficient implementation of this technique. First, the Extended Gaussian Image is computed for the binary image. Second, the intercepts are computed for all possible orientations through an angular convolution. Finally, the tensor is computed by means of the covariance matrix. The complexity of the method is O(n+m) in contrast with O(nm) of traditional implementations, where n is the number of voxels in the image and m is the number of orientations used in the computations.

Place, publisher, year, edition, pages
2011.
Keyword [en]
Fabric tensor, mean intercept length tensor, extended gaussian image, angular convolution, trabecular bone
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-78496OAI: oai:DiVA.org:liu-78496DiVA: diva2:533443
Conference
SSBA Symposium
Projects
VR, grant no. 2006-5670.
Available from: 2012-06-27 Created: 2012-06-13 Last updated: 2014-10-08Bibliographically approved

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Moreno, RodrigoSmedby, ÖrjanBorga, Magnus
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Center for Medical Image Science and Visualization, CMIVDepartment of Medical and Health SciencesFaculty of Health SciencesRadiologyDepartment of Radiology in LinköpingMedical InformaticsThe Institute of Technology
Medical Image Processing

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