Literature DB >> 10100943

Assessment of cancellous bone mechanical properties from micro-FE models based on micro-CT, pQCT and MR images.

B van Rietbergen1, S Majumdar, W Pistoia, D C Newitt, M Kothari, A Laib, P Rüegsegger.   

Abstract

Recently, new micro-finite element (micro-FE) techniques have been introduced to calculate cancellous bone mechanical properties directly from high-resolution images of its internal architecture. Also recently, new peripheral quantitative computed tomography (pQCT) and magnetic resonance (MR) imaging techniques have been developed that can create images of whole bones in vivo with enough detail to visualize the internal cancellous bone architecture. In this study we aim to investigate if the calculation of cancellous bone mechanical properties from micro-FE models based on such new pQCT and MR images is feasible. Three bone specimens were imaged with the pQCT scanning system and the MR-imaging system. The specimens were scanned a second time using a micro-CT scanner with a much higher resolution. Digitized reconstructions were made based on each set of images and converted to micro-FE models from which the bone elastic properties were calculated. It was found that the results of both the pQCT and the MR-based FE-models compared well to those of the more accurate micro-CT based models in a qualitative sense, but correction factors will be needed to get accurate values.

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Year:  1998        PMID: 10100943

Source DB:  PubMed          Journal:  Technol Health Care        ISSN: 0928-7329            Impact factor:   1.285


  18 in total

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Journal:  Comput Methods Biomech Biomed Engin       Date:  2015-05-11       Impact factor: 1.763

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10.  3D image registration is critical to ensure accurate detection of longitudinal changes in trabecular bone density, microstructure, and stiffness measurements in rat tibiae by in vivo microcomputed tomography (μCT).

Authors:  Shenghui Lan; Shiming Luo; Beom Kang Huh; Abhishek Chandra; Allison R Altman; Ling Qin; X Sherry Liu
Journal:  Bone       Date:  2013-05-28       Impact factor: 4.398

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