Development of Analytical Techniques to Monitor Bone Penetration in 3D via Computer Tomography Analysis.
Abstract
There has been much work into getting clear and precise images of bone growing within
different osteoconductive and osteoinductive scaffolds for the aim of investigating and
quantifying the effect the different grafts have on the bone that forms within the graft.
Before the bone structure and volume can be quantified, the images produced need to
segmented into their different regions.
Using images produced from x-ray computed tomography, the samples can be
segmented based on their densities. As the voxels have distinct size, if just the density is
used to segment out the regions, there will be some miss-identification at the edges of
the regions (ghosting). To overcome this problem of misidentification, automated
segmentation methods were developed which take not only the intensity of the voxels in
the images (which are related to the density) into account for the segmentation but also
the local properties.
With correct segmentation the volume and surface area are better represented and
methods for structure measurement can and were developed. These methods allow for
not only the structure of the bone and implants to be quantified, but for the change in
structures between the different implants to be compared. This allows for the different
structures caused by the different graft materials to be seen and compared. This
comparison when used on its own or with other methods such as histology not only
allows for the different structures to be identified but all the change in structures due to
factors such as remodelling to be identified.
Authors
Parish, Alan Joseph BuchanCollections
- Theses [4122]