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3D Morphological Analysis of Lacuno-canalicular Network from SR Micro CT Images

Abstract : The osteocyte system have become a hot research topic due to the importance of the system in controlling the bone remodeling process. Among many micro-imaging techniques, the SR µCT imaging was demonstrated as a promising method to reveal the 3D structure of lacuno-canalicular network from our previous study. In this paper, we propose an image analysis scheme based on SR µCT images to extract 3D morphological parameter of LCN. Our method was successfully applied to human tibial cortical bone samples. The quantitative results show the consistence with the existed literature. We believe this method may open a new way in understanding the bone quality form the cellular level.
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https://www.hal.inserm.fr/inserm-01155023
Contributor : Frédérique Frouin <>
Submitted on : Tuesday, May 26, 2015 - 8:04:59 AM
Last modification on : Wednesday, July 8, 2020 - 12:44:05 PM
Long-term archiving on: : Thursday, April 20, 2017 - 7:53:39 AM

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  • HAL Id : inserm-01155023, version 1

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Pei Dong, Galateia Kazakia, Max Langer, Pierre-Jean Gouttenoire, Cécile Olivier, et al.. 3D Morphological Analysis of Lacuno-canalicular Network from SR Micro CT Images. Journées RITS 2015, Mar 2015, Dourdan, France. pp 174-175. ⟨inserm-01155023⟩

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