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A Three-dimensional Strain Measurement Method In Elastic Transparent Materials Using Tomographic Particle Image Velocimetry

Azuma Takahashi, Sara Mayumi Nojoza Suzuki, Yusuke Aoyama, Mitsuo Umezu, Kiyotaka Iwasaki
Published 2017 · Medicine, Materials Science
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Background The mechanical interaction between blood vessels and medical devices can induce strains in these vessels. Measuring and understanding these strains is necessary to identify the causes of vascular complications. This study develops a method to measure the three-dimensional (3D) distribution of strain using tomographic particle image velocimetry (Tomo-PIV) and compares the measurement accuracy with the gauge strain in tensile tests. Methods and findings The test system for measuring 3D strain distribution consists of two cameras, a laser, a universal testing machine, an acrylic chamber with a glycerol water solution for adjusting the refractive index with the silicone, and dumbbell-shaped specimens mixed with fluorescent tracer particles. 3D images of the particles were reconstructed from 2D images using a multiplicative algebraic reconstruction technique (MART) and motion tracking enhancement. Distributions of the 3D displacements were calculated using a digital volume correlation. To evaluate the accuracy of the measurement method in terms of particle density and interrogation voxel size, the gauge strain and one of the two cameras for Tomo-PIV were used as a video-extensometer in the tensile test. The results show that the optimal particle density and interrogation voxel size are 0.014 particles per pixel and 40 × 40 × 40 voxels with a 75% overlap. The maximum measurement error was maintained at less than 2.5% in the 4-mm-wide region of the specimen. Conclusions We successfully developed a method to experimentally measure 3D strain distribution in an elastic silicone material using Tomo-PIV and fluorescent particles. To the best of our knowledge, this is the first report that applies Tomo-PIV to investigate 3D strain measurements in elastic materials with large deformation and validates the measurement accuracy.
This paper references
10.1016/0950-0618(93)90021-4
New Tests for Adhesion of Silicone Sealants
Voytek Gutowski (1993)
10.1002/ccd.25848
Novel hemodynamic index for assessment of aortic regurgitation after transcatheter aortic valve replacement.
Baris Bugan (2015)
10.1016/j.medengphy.2014.09.017
Morphological and stent design risk factors to prevent migration phenomena for a thoracic aneurysm: a numerical analysis.
H-E Altnji (2015)
10.1007/S00348-009-0629-2
Three-dimensional vorticity patterns of cylinder wakes
Fulvio Scarano (2009)
10.1098/rsif.2012.0043
Virtual experiments, physical validation: dental morphology at the intersection of experiment and theory
Philip S. L. Anderson (2012)
10.1016/j.jmbbm.2013.09.014
The application of digital volume correlation (DVC) to study the microstructural behaviour of trabecular bone during compression.
Frédéric Gillard (2014)
10.1016/j.jbiomech.2009.06.034
3D analysis from micro-MRI during in situ compression on cancellous bone.
Aurélie Benoit (2009)
10.1002/app.24598
Preparation and properties of magnetorheological elastomers based on silicon rubber/polystyrene blend matrix
Yinling Wang (2007)
10.1007/s10237-014-0583-7
Simulations of transcatheter aortic valve implantation: implications for aortic root rupture
Qian Wang (2015)
Computation of full - field displacements in a scaffold implant using digital volume correlation correlation and finite element analysis
K Madi (2013)
10.1111/j.1469-7580.2011.01408.x
Sensitivity and ex vivo validation of finite element models of the domestic pig cranium.
Jen A. Bright (2011)
10.1016/J.PIUTAM.2012.05.013
Digital Volume Correlation for Study of the Mechanics of Whole Bones.
Amira I. Hussein (2012)
10.1115/1.2146001
Comparison of the linear finite element prediction of deformation and strain of human cancellous bone to 3D digital volume correlation measurements.
Roger Zauel (2006)
10.1088/0957-0233/21/3/035401
Motion tracking-enhanced MART for tomographic PIV
Matteo Novara (2010)
10.1016/0010-4825(76)90066-4
Iterative reconstruction algorithms.
Gabor T. Herman (1976)
10.1016/j.medengphy.2013.02.001
Computation of full-field displacements in a scaffold implant using digital volume correlation and finite element analysis.
Kamel Madi (2013)
10.1115/1.4030174
Three-dimensional local measurements of bone strain and displacement: comparison of three digital volume correlation approaches.
Marco Palanca (2015)
10.1088/0957-0233/25/8/084004
Ghost hunting—an assessment of ghost particle detection and removal methods for tomographic-PIV
Gerrit E. Elsinga (2014)
10.1080/10255842.2014.870712
Microscale modelling in biomechanics and mechanobiology
Hélder C. Rodrigues (2014)
10.1080/10255842.2012.746676
Simulation of transcatheter aortic valve implantation: a patient-specific finite element approach
Ferdinando Auricchio (2014)
10.1098/rsif.2011.0054
Medical ultrasound: imaging of soft tissue strain and elasticity
Peter Neil Temple Wells (2011)
10.1016/j.jbiomech.2003.12.036
A three-dimensional digital image correlation technique for strain measurements in microstructures.
E. Verhulp (2004)
10.1007/s00348-006-0212-z
Tomographic particle image velocimetry
Gerrit E. Elsinga (2006)
10.1002/cnm.2557
Finite element analysis of balloon-expandable coronary stent deployment: influence of angioplasty balloon configuration.
David Moral Martín (2013)
10.1016/j.jbiomech.2014.01.001
Application of the digital volume correlation technique for the measurement of displacement and strain fields in bone: a literature review.
Bryant C. Roberts (2014)
10.1088/0957-0233/24/1/012001
Tomographic PIV: principles and practice
Fulvio Scarano (2013)
10.1007/s10439-012-0618-0
Severe Bending of Two Aortic Stent-Grafts: An Experimental and Numerical Mechanical Analysis
Nicolas Demanget (2012)
10.1016/j.jacc.2011.11.045
Cross-sectional computed tomographic assessment improves accuracy of aortic annular sizing for transcatheter aortic valve replacement and reduces the incidence of paravalvular aortic regurgitation.
Hasan Jilaihawi (2012)
10.1007/S00348-008-0521-5
Volume self-calibration for 3D particle image velocimetry
Bernhard Wieneke (2008)
10.1016/j.jbiomech.2012.08.032
Skin anisotropy in vivo and initial natural stress effect: a quantitative study using high-frequency static elastography.
Solène Gahagnon (2012)
10.1007/s00348-011-1187-y
Performances of motion tracking enhanced Tomo-PIV on turbulent shear flows
Matteo Novara (2012)
10.1007/S00348-011-1042-1
Tomographic particle image velocimetry investigation of the flow in a modeled human carotid artery bifurcation
Nicolas Buchmann (2011)



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