Name
Title | ||
|---|---|---|
A new quantitative approach for estimating bone cell connections from nano-CT images. |
Abstract | ||
|---|---|---|
Recent works highlighted the crucial role of the osteocyte system in bone fragility. The number of canaliculi of osteocyte lacuna (Lc.NCa) is an important parameter that reflects the functionality of bone tissue, but rarely reported due to the limitations of current microscopy techniques, and only assessed from 2D histology sections. Previously, we showed the Synchrotron Radiation nanotomography (SR-nanoCT) is a promising technique to image the 3D lacunar-canalicular network. Here we present, for the first time, an automatic method to quantify the connectivity of bone cells in 3D. After segmentation, our method first separates and labels each lacuna in the network. Then, by creating a bounding surface around lacuna, the Lc.NCa is calculated through estimating 3D topological parameters. The proposed method was successfully applied to a 3D SR-nanoCT image of cortical femoral bone. Statistical results on 165 lacunae are reported, showing a mean of 51, which is consistent with the literature. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/EMBC.2013.6610345 | EMBC |
Keywords | Field | DocType |
synchrotron radiation nanotomography,statistical results,cellular biophysics,computerised tomography,topological parameters,3d lacunar-canalicular network,morphological operation,bone cell connection estimation,parameter estimation,statistical analysis,microscopy,image segmentation,segmentation,sr nano-ct,bone,nanocomputerised tomography images,bone fragility,lacunar-canalicular network,synchrotron radiation,cortical femoral bone,automatic quantification,osteocyte system,3d topological parameter estimation,2d histology sections,quantitative approach,medical image processing,canaliculi,osteocyte lacuna,bone tissue functionality,imaging,irrigation,signal processing | Biomedical engineering,Lacuna,Computer science,Bone cell,Segmentation,Osteocyte,Image segmentation,Osteocyte lacuna,Bone tissue,Bone canaliculus | Conference |
Volume | ISSN | Citations |
2013 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 3 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pei Dong | 1 | 12 | 3.56 |
| Alexandra Pacureanu | 2 | 9 | 4.84 |
| Maria A. Zuluaga | 3 | 279 | 25.84 |
| Cécile Olivier | 4 | 0 | 0.34 |
| F. Frouin | 5 | 10 | 2.90 |
| Quentin Grimal | 6 | 0 | 0.68 |
| Françoise Peyrin | 7 | 55 | 22.48 |