Literature DB >> 11425075

Machine vision photogrammetry: a technique for measurement of microstructural strain in cortical bone.

D P Nicolella1, A E Nicholls, J Lankford, D T Davy.   

Abstract

Understanding local microstructural deformations and strains in cortical bone may lead to a better understanding of cortical bone damage development, fracture, and remodeling. Traditional experimental techniques for measuring deformation and strain do not allow characterization of these quantities at the microstructural level in cortical bone. This study describes a technique based on digital stereoimaging used to measure the microstructural strain fields in cortical bone. The technique allows the measurement of material surface displacements and strains by comparing images acquired from a specimen at two distinct stress states. The accuracy of the system is investigated by analyzing an undeformed image set; the test image is identical to the reference image but translated by a known pixel amount. An increase in the correlation sub-image train parameter results in an increase in displacement measurement accuracy from 0.049 to 0.012 pixels. Errors in strain calculated from the measured displacement field were between 39 and 564 microstrain depending upon the sub-image train size and applied image displacement. The presence of a microcrack in cortical bone results in local strain at the crack tip reaching 0.030 (30,000 microstrain) and 0.010 (10,000 microstrain) near osteocyte lacunae. It is expected that the use of this technique will allow a greater understanding of bone strength and fracture as well as bone mechanotransduction.

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Year:  2001        PMID: 11425075     DOI: 10.1016/s0021-9290(00)00163-9

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  26 in total

1.  Strain amplification in bone mechanobiology: a computational investigation of the in vivo mechanics of osteocytes.

Authors:  Stefaan W Verbruggen; Ted J Vaughan; Laoise M McNamara
Journal:  J R Soc Interface       Date:  2012-06-06       Impact factor: 4.118

2.  Measurement of microstructural strain in cortical bone.

Authors:  Daniel P Nicolella; Lynda F Bonewald; Donald E Moravits; James Lankford
Journal:  Eur J Morphol       Date:  2005 Feb-Apr

3.  Osteocyte lacunae tissue strain in cortical bone.

Authors:  Daniel P Nicolella; Donald E Moravits; Adrian M Gale; Lynda F Bonewald; James Lankford
Journal:  J Biomech       Date:  2005-07-01       Impact factor: 2.712

4.  Tissue strain amplification at the osteocyte lacuna: a microstructural finite element analysis.

Authors:  Amber Rath Bonivtch; Lynda F Bonewald; Daniel P Nicolella
Journal:  J Biomech       Date:  2007-01-02       Impact factor: 2.712

Review 5.  Osteocytes, mechanosensing and Wnt signaling.

Authors:  Lynda F Bonewald; Mark L Johnson
Journal:  Bone       Date:  2008-01-12       Impact factor: 4.398

Review 6.  Effects of nanomechanical bone tissue properties on bone tissue strain: implications for osteocyte mechanotransduction.

Authors:  D P Nicolella; J Q Feng; D E Moravits; A R Bonivitch; Y Wang; V Dusecich; W Yao; N Lane; L F Bonewald
Journal:  J Musculoskelet Neuronal Interact       Date:  2008 Oct-Dec       Impact factor: 2.041

7.  Whole Field Strain Measurement on Complex Surfaces by Digital Speckle Pattern Interferometry.

Authors:  Yanghong Wang; Dan Thomas; Ping Zhang; Hiroki Yokota; Lianxiang Yang
Journal:  Mater Eval       Date:  2008-05       Impact factor: 0.556

8.  Non-contact strain measurement in the mouse forearm loading model using digital image correlation (DIC).

Authors:  Mark T Begonia; Mark Dallas; Bruno Vizcarra; Ying Liu; Mark L Johnson; Ganesh Thiagarajan
Journal:  Bone       Date:  2015-09-24       Impact factor: 4.398

9.  Accuracy and precision of digital volume correlation in quantifying displacements and strains in trabecular bone.

Authors:  Li Liu; Elise F Morgan
Journal:  J Biomech       Date:  2007-06-13       Impact factor: 2.712

10.  Measurement of Strain Distributions in Mouse Femora with 3D-Digital Speckle Pattern Interferometry.

Authors:  Lianxiang Yang; Ping Zhang; Sheng Liu; Praveen R Samala; Min Su; Hiroki Yokota
Journal:  Opt Lasers Eng       Date:  2007-08       Impact factor: 4.836

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