| 1. |
- Moreno, Rodrigo, 1973-, et al.
(författare)
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On the Efficiency of the Mean Intercept Length Tensor
- 2011
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- 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.
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| 2. |
- Moreno, Rodrigo, et al.
(författare)
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Soft classification of trabeculae in trabecular bone
- 2011
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Ingår i: Biomedical Imaging: From Nano to Macro, 2011. - : IEEE. - 9781424441273 ; , s. 1641-1644
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Konferensbidrag (refereegranskat)abstract
- Classification of trabecular bone aims at discriminating different types of trabeculae. This paper proposes a method to perform a soft classification from binary 3D images. In a first step, the local structure tensor is used to estimate a membership degree of every voxel to three different classes, plate-, rod- and junction-like trabeculae. In a second step, the global structure tensor of plate-like trabeculae is compared with the local orientation of rod-like trabeculae in order to discriminate aligned from non-aligned rods. Results show that soft classification can be used for estimating independent parameters of trabecular bone for every different class, by using the classification as a weighting function.
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