Paper
12 May 2004 A procedure for the evaluation of 2D radiographic texture analysis to assess 3D bone micro-architecture
Lian Apostol, Francoise Peyrin, Sophie Yot, Olivier Basset, Christophe Odet, Joachim Tabary, Jean-Marc Dinten, Elodie Boller, Vincent Boudousq, Pierre-Olivier Kotzki
Author Affiliations +
Abstract
Although the diagnosis of osteoporosis is mainly based on Dual X-ray Absorptiometry, it has been shown that trabecular bone micro-architecture is also an important factor in regards of fracture risk, which can be efficiently assessed in vitro using three-dimensional x-ray microtomography (μCT). In vivo, techniques based on high-resolution s-ray radiography associated to texture analysis have been proposed to investigate bone micro-architecture, but their relevance for giving pertinent 3D information is unclear. The purpose of this work was to develop a method for evaluating the relationships betweeen 3D micro-architecture and 2D texture parameters, and optimizing the conditions for radiographic imaging. Bone sample images taken from cortical to cortical were acquired using 3D-synchrotron x-ray μCT at the ESRF. The 3D digital imagees were further used for two purposes: 1) quantification of three-dimensional bone micro-architecture, 2) simulation of realistic x-ray radiographs under different acquisition conditions. Texture analysis was then applied to these 2D radiographs using a large variety of methods (co-occurence, spectrum, fractal...). First results of the statistical analysis between 2D and 3D parameters allowed identfying the most relevant 2D texture parameters.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lian Apostol, Francoise Peyrin, Sophie Yot, Olivier Basset, Christophe Odet, Joachim Tabary, Jean-Marc Dinten, Elodie Boller, Vincent Boudousq, and Pierre-Olivier Kotzki "A procedure for the evaluation of 2D radiographic texture analysis to assess 3D bone micro-architecture", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.533452
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Bone

Quantum wells

Statistical analysis

X-rays

3D acquisition

3D image processing

Lithium

Back to Top