Post-euthanasia micro-computed tomography–based strain analysis is able to represent quasi-static in vivo behavior of whole vertebrae

Choudhari, Chetan; Herblum, Ryan; Akens, Margarete K.; Moore, Sara; Hardisty, Michael; Whyne, Cari

doi:10.1177/0954411916658679

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Other applications followed in the field of biomechanics (e.g., see Refs. [194,11,106,241,17,193,44,40,43,109]). At the beginning of the current decade, DVC was clearly identified as one technique very suited to biomechanical applications [239].…”

Section: Introductionmentioning

confidence: 99%

Digital Volume Correlation: Review of Progress and Challenges

et al. 2018

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3D imaging has become popular for analyzing material microstructures. When time lapse series of 3D pictures are acquired during a single experiment, it is possible to measure displacement fields via digital volume correlation (DVC), thereby leading to 4D results. Such ForewordThe present paper aims at reviewing the major developments in Digital Volume Correlation (DVC) over the past ten years. It follows the first review on DVC that was published in 2008 by its pioneer [11]. In the latter, the interested reader will find all the general principles associated with what is now called local DVC. They will not be recalled hereafter. In such approaches the region of interest is subdivided into small subvolumes that are independently registered. In addition to its wider use with local approaches, DVC has been extended to global approaches in which the displacement field is defined in a dense way over the region of interest. Kinematic bases using finite element discretizations have been selected. To further add mechanical content, elastic regularization has been introduced. Last, integrated approaches use kinematic fields that are constructed from finite element simulations with chosen constitutive equations. The material parameters (and/or boundary conditions) then become the quantities of interest.These various implementations assume different degrees of integration of mechanical knowledge about the analyzed experiment. First and foremost, DVC can be considered as a stand-alone technique, which has seen its field of applications grow over the last ten years. In this case the measured displacement fields and post-processed strain fields are reported. With the introduction of finite element based DVC, the measured displacement field is continuous. It is also a standalone technique. However, given the fact that it shares common kinematic bases with numerical simulations, it can be easily combined with the latter. One route is to require local satisfaction of equilibrium via mechanical regularization. Another route is to fully merge DVC analyses and numerical simulations via integrated approaches. Different examples will illustrate how these various integration steps can be tailored and what are the current challenges associated with various approaches.

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Section: Introductionmentioning

confidence: 99%

Digital Volume Correlation: Review of Progress and Challenges

et al. 2018

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“…DVC has been verified for 3D measurement of the deformation in ex vivo porcine lamina cribrosa, retrolaminar neural tissue and vertebrae under different mechanical loading conditions using images acquired from micro-CT (Coudrillier et al, 2016; Danesi, Tozzi & Cristofolini, 2016; Feola et al, 2017). In addition, the deformation in the spine of human and rats under mechanical loading was measured using deformable image registration algorithm combined with micro-CT (Choudhari et al, 2016; Hussein, Barbone & Morgan, 2012).…”

Section: Tc-based Image Analysis Of Mechanical Strainmentioning

confidence: 99%

Experimental mechanical strain measurement of tissues

Huang

Korhonen

Turunen

et al. 2019

PeerJ

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Strain, an important biomechanical factor, occurs at different scales from molecules and cells to tissues and organs in physiological conditions. Under mechanical strain, the strength of tissues and their micro- and nanocomponents, the structure, proliferation, differentiation and apoptosis of cells and even the cytokines expressed by cells probably shift. Thus, the measurement of mechanical strain (i.e., relative displacement or deformation) is critical to understand functional changes in tissues, and to elucidate basic relationships between mechanical loading and tissue response. In the last decades, a great number of methods have been developed and applied to measure the deformations and mechanical strains in tissues comprising bone, tendon, ligament, muscle and brain as well as blood vessels. In this article, we have reviewed the mechanical strain measurement from six aspects: electro-based, light-based, ultrasound-based, magnetic resonance-based and computed tomography-based techniques, and the texture correlation-based image processing method. The review may help solving the problems of experimental and mechanical strain measurement of tissues under different measurement environments.

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Elevated Microdamage Spatially Correlates with Stress in Metastatic Vertebrae

et al. 2019

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Post-euthanasia micro-computed tomography–based strain analysis is able to represent quasi-static in vivo behavior of whole vertebrae

Cited by 3 publications

References 15 publications

Digital Volume Correlation: Review of Progress and Challenges

Digital Volume Correlation: Review of Progress and Challenges

Experimental mechanical strain measurement of tissues

Elevated Microdamage Spatially Correlates with Stress in Metastatic Vertebrae

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