27.12.2012 Views

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

allows the calculation of strain maps from the displacement field. The individual<br />

components of the displacements were smoothed by Gaussian filtration before the local<br />

gradients in the displacement field, equivalent to the deformation gradient , were<br />

calculated by central difference. From the deformation gradient, the Green-Lagrange<br />

strain tensor was derived.<br />

3.2 Materials<br />

The left femurs from three mature female mice of the inbred strain C3H/He (C3H) were<br />

used in this study. At an age of 19 weeks the animals were sacrificed. All animal<br />

procedures were reviewed and approved by the local authorities. The femurs were<br />

prepared and imaged as previously described (2). The specimens were imaged within<br />

the mid-diaphysis using SR-CT at a nominal resolution of 740 nm.<br />

3.3 Validation<br />

The following models were created by warping directly from the tomographic images of<br />

the samples before loading:<br />

Model I. In order to study the accuracy of the strain mapping, a horizontal crack across<br />

half the cross section was artificially introduced in image. Linear elastic FE simulations<br />

of a tensile deformation by 1% in vertical direction were used to compute realistic<br />

displacements and strains. The resulting displacements were then used to deform the<br />

original image by warping. This model was used to determine an optimal set of<br />

parameters. For the DVC phase we investigated the effect of the different sizes of subimages<br />

(100, 50 and 25 voxel) and the threshold in mutual information (between 0 and<br />

0.25) deciding on whether the sub-image should be considered for the interpolation of<br />

the displacement field. For the demons deformable registration, the stiffness parameter<br />

was analyzed between 2 and 10. And for the actual strain mapping, we determined the<br />

effect of the width () of the Gaussian filter between 2 and 4 voxels. For each parameter<br />

of the DVC and demons deformable registration, the root mean square (RMS) error and<br />

the coefficient of correlation (R) between the resulting displacement field and the<br />

originally applied displacement was calculated within the region of strain concentration<br />

(regions with apparent strain larger than 1 %). For strain mapping, the resulting map<br />

was compared to the map resulting from the originally applied displacements. The<br />

resulting set of parameters was then used for the remainder of the study.<br />

Model II. To determine the accuracy and precision of the displacement maps in a more<br />

controlled and comparable way, the images were displaced by 0.5 voxel in each<br />

coordinate direction (resulting in a total displacement of 0.87 voxel) using b-spline<br />

interpolation. In contrast to Model I, the gray-scale images instead of the segmented<br />

images were used for the warping and were segmented after the deformation.<br />

Model III. The accuracy and precision of the strain maps was measured from images<br />

with artificially imposed strains between 0.00 and 0.05 using homogenous strains over<br />

the entire image. The case of zero applied strain was computed with strain maps derived<br />

from model II. As in model II, the gray-scale images were deformed using b-spline<br />

interpolation and segmented afterwards.<br />

Model IV. The spatial resolution of the strain map was measured by the modulation

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!