Paper Info
Title
3D X-ray CT imaging of the bone Lacuno-Canalicular Network.
Abstract
Imaging of the trabecular bone network has made significant advances in the last decade thanks to the outstanding development of 3D X-ray micro-CT. Compared to standard histomorphometry, this technique provides non-destructively 3D images of the trabecular bone permitting a so-called model-independent quantification of this network. Today, the assessment of the bone Lacuno-Canalicular Network (LCN) is a new challenge at the cellular scale. The LCN forms a communication network interconnecting the osteocytes, the bone cells embedded in the mineralized matrix. It plays a major role in mechanotransduction with important implications on bone remodeling and finally bone strength. However, methods for the 3D assessment of the LCN are lacking. In a recent work, we have shown the feasibility of imaging the LCN in 3D thanks to Synchrotron Radiation nano-CT (voxel size 280 nm). These first images of the LCN in 3D open new challenges in image processing to segment and quantify the LCN. After recalling the principle of image acquisition, we present our first approaches for enhancing the contrast of canaliculi and segmenting the LCN. Finally, to increase the connectivity of the network, we consider a new approach based on 3D geodesic voting, offering promising perspectives. Results on experimental 3D images of the 3D LCN in human femoral bone are presented.
Year
DOI
Venue
2012
10.1109/ISBI.2012.6235929
ISBI
Keywords
Field
DocType
bone,cellular biophysics,computerised tomography,image enhancement,image segmentation,medical image processing,3D LCN,3D X-ray CT imaging,3D X-ray microCT,3D assessment,3D geodesic voting,bone cells,bone lacuno-canalicular network,bone remodeling,cellular scale,communication network,human femoral bone,image acquisition,image processing,mechanotransduction,mineralized matrix,model-independent quantification,nondestructive 3D image,osteocytes,synchrotron radiation nanoCT,trabecular bone network,X-ray CT,bone micro-architecture,micro-CT,nano-CT,osteocyte network,synchrotron radiation
Voxel,Computer vision,Cellular biophysics,Bone cell,Computer science,Image processing,Image segmentation,Artificial intelligence,Bone strength,Bone canaliculus,Bone remodeling
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
5
Name
Order
Citations
PageRank
Françoise Peyrin15522.48
Alexandra Pacureanu294.84
Maria A. Zuluaga327925.84
Pei Dong4123.56
Max Langer575.24