Modelization of three-dimensional bone micro-architecture using Markov random fields with a multi-level clique system

Thomas Lamotte; Jean-Marc Dinten; Francoise Peyrin

doi:10.1117/12.595165

29 April 2005 Modelization of three-dimensional bone micro-architecture using Markov random fields with a multi-level clique system

Thomas Lamotte, Jean-Marc Dinten, Francoise Peyrin

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Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.595165
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

The goal of this work is to find a new parametric model of three-dimensional (3D) bone micro-architecture which is both representative of some bone characteristics and can be used as a prior model in tomographic reconstruction or image segmentation. For this purpose, Markov Random Fields (MRFs) are adapted. Bone micro-architecture is typically organized as a pseudo-periodic arrangement of parallel plates with a given thickness (≈ 100 μm), and a given spacing (≈ 700 μm). As standard MRFs could not represent the complexity of bone, we investigated appropriated energy functions, parameters and a design of the neighborhood system including local and distant interactions. Then, parameters of the new model were related to the standard morphometric parameters of the bone microarchitecture using an usual bone quantification tool.

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Thomas Lamotte, Jean-Marc Dinten, and Francoise Peyrin "Modelization of three-dimensional bone micro-architecture using Markov random fields with a multi-level clique system", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.595165

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