Assessment of the lacuno-canalicular network in human bone from magnified phase nano-CT images - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Assessment of the lacuno-canalicular network in human bone from magnified phase nano-CT images

Résumé

The osteocyte system, which plays a major role in the triggering of bone remodeling, has recently attracted increasing attentions but its properties in association to bone fragility are still unclear. It is residing the lacuno-canalicular network (LCN) which appears as a complex mesh where lacunae serve as nodes connected with each other by many small channels (canaliculi). Since it is deeply embedded inside bone tissue, the 3D analysis of the LCN at high spatial resolution is still challenging, although a number of 3D imaging techniques have recently been proposed. Here, we propose to use X-ray magnified phase nano-CT (nCT) to extract quantitative information about the LCN in human bone. Small samples were cut from cross sections of the mid-diaphysis of the left femur of 4 women cadavers (ages 56 - 95 years old). Imaging experiments were performed at the beamline ID16A of the European Synchrotron Radiation Facility (ESRF), Grenoble. For each samples, phase contrast CT scans were acquired at four different propagation distances, at voxels sizes of 120 and 30nm. After phase retrieval and tomographic reconstruction, the lacunae and canaliculi were segmented from the volumes at 120nm, by the hysteresis thresholding algorithm and a dedicated 3D minimal path method respectively. Due to the large nCT data sets (32 GB/ (2048)3 image), the computations for the canaliculi segmentation were parallelized on a cluster of computers. Quantitative parameters could then be calculated from the binary images. Table 1 presents lacunae parameters including the lacuna porosity, density as well as morphological parameters. The development of image analysis methods for the images at 30nm is in progress. This work is expected to bring new characteristics of the LCN in three dimensions at the nano scale which will be correlated to biomechanical parameters measured on the same subjects.
Fichier non déposé

Dates et versions

hal-01598363 , version 1 (29-09-2017)

Identifiants

  • HAL Id : hal-01598363 , version 1

Citer

Boliang Yu, Max Langer, Alexandra Pacureanu, Cécile Olivier, Pierre-Jean Gouttenoire, et al.. Assessment of the lacuno-canalicular network in human bone from magnified phase nano-CT images. 21st International Bone Densitometry Workshop IBDW/ESUCB, Jun 2017, Kloster Banz, Germany. ⟨hal-01598363⟩
112 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More