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Three-Dimensional Strain Measurements Of A Tubular Elastic Model Using Tomographic Particle Image Velocimetry

Azuma Takahashi, Xiaodong Zhu, Yusuke Aoyama, Mitsuo Umezu, Kiyotaka Iwasaki
Published 2018 · Medicine
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The evaluation of strain induced in a blood vessel owing to contact with a medical device is of significance to examine the causes leading to vascular injury and rupture. The development of a method to assess strain in largely deformed elastic materials is expected. This study’s scope was to measure strain in deformed tubular elastic mock vessels using tomographic particle image velocimetry (tomo-PIV), and to show the applicability of this measurement method by comparing the results with data derived from a finite element analysis (FEA). Strain distribution was calculated from the displacement distribution, which in turn was measured by tracking fluorescent 13 μm particles in a transparent tubular elastic model using tomo-PIV. The von Mises strain distribution was calculated for a model whose inner diameter was subjected to a pressure load, because of which it expanded from 25 to 27.5 mm, adjusting to the diameter change of a human aorta during heartbeat. An FEA simulating the experiment was also conducted. Three-dimensional strain was successfully measured by using the tomo-PIV method. The radial strain distribution in the model linearly decreased outward (from the its inner to its outer side), and the result was consistent with the data obtained from the FEA. The mean von Mises strain measured using tomo-PIV was comparable with that obtained from the FEA (tomo-PIV: 0.155, FEA: 0.156). This study demonstrates the feasibility of utilizing tomo-PIV to quantitatively assess the three-dimensional strain induced in largely deformed elastic models.
This paper references
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)
10.1016/j.jss.2015.03.024
Development and testing of a silicone in vitro model of descending aortic dissection.
Joav Birjiniuk (2015)
10.1016/0950-0618(93)90021-4
New Tests for Adhesion of Silicone Sealants
Voytek Gutowski (1993)
10.1088/0957-0233/27/12/125201
A high temperature seeding technique for particle image velocimetry
Mark P. Wernet (2016)
10.1016/j.medengphy.2008.11.005
The influence of plaque composition on underlying arterial wall stress during stent expansion: the case for lesion-specific stents.
Ian Owens Pericevic (2009)
10.1007/s10237-014-0583-7
Simulations of transcatheter aortic valve implantation: implications for aortic root rupture
Qian Wang (2015)
10.1016/j.msea.2006.12.087
Analysis of the Behaviour of Crack Emanating From Microvoid in Cement of Reconstructed Acetabulum
Bachir Bachir Bouiadjra (2007)
10.1016/j.jvs.2008.02.029
Fracture of self-expanding nitinol stents stressed in vitro under simulated intravascular conditions.
Alexander Y. Nikanorov (2008)
10.1152/physrev.1954.34.4.619
Relation of structure to function of the tissues of the wall of blood vessels.
Alan C. Burton (1954)
10.1007/s00348-006-0212-z
Tomographic particle image velocimetry
Gerrit E. Elsinga (2006)
10.1007/s00701-015-2666-3
In vitro experiments of vessel wall apposition between the Enterprise and Enterprise 2 stents for treatment of cerebral aneurysms
Kenichi Kono (2015)
10.1002/app.24598
Preparation and properties of magnetorheological elastomers based on silicon rubber/polystyrene blend matrix
Yinling Wang (2007)
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)
10.1143/JJAP.45.4643
Measurement of Silicone Rubber Using Impedance Change of a Quartz-Crystal Tuning-Fork Tactile Sensor
Hideaki Itoh (2006)
10.1007/s003480070007
Advances in iterative multigrid PIV image processing
Fulvio Scarano (2000)
10.1088/0957-0233/21/3/035401
Motion tracking-enhanced MART for tomographic PIV
Matteo Novara (2010)
10.1016/j.jbiomech.2016.10.050
Transcatheter aortic valves produce unphysiological flows which may contribute to thromboembolic events: An in-vitro study
Andrea Ducci (2016)
10.1007/s10237-010-0189-7
Computational vascular fluid–structure interaction: methodology and application to cerebral aneurysms
Yuri Bazilevs (2010)
10.1016/0010-4825(76)90066-4
Iterative reconstruction algorithms.
Gabor T. Herman (1976)
10.1016/j.dental.2010.05.002
3D FEA of high-performance polyethylene fiber reinforced maxillary dentures.
Yky Cheng (2010)
10.1007/S00348-016-2158-0
Tomographic PIV behind a prosthetic heart valve
David Hasler (2016)
10.1088/0957-0233/24/1/012001
Tomographic PIV: principles and practice
Fulvio Scarano (2013)
10.1016/j.jbiomech.2009.06.034
3D analysis from micro-MRI during in situ compression on cancellous bone.
Aurélie Benoit (2009)
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)
10.1002/cnm.2557
Finite element analysis of balloon-expandable coronary stent deployment: influence of angioplasty balloon configuration.
David Moral Martín (2013)
10.1016/j.medengphy.2010.10.011
Carotid artery stenting simulation: from patient-specific images to finite element analysis.
Ferdinando Auricchio (2011)
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)
10.1002/micr.22182
Opened end-to-side technique for end-to-side anastomosis and analyses by an elastic true-to-scale silicone rubber model.
Thomas Mücke (2014)
10.1007/s00348-011-1187-y
Performances of motion tracking enhanced Tomo-PIV on turbulent shear flows
Matteo Novara (2012)
10.1080/10255842.2012.746676
Simulation of transcatheter aortic valve implantation: a patient-specific finite element approach
Ferdinando Auricchio (2014)
10.1007/s10439-010-0067-6
A Comparison of Diameter, Wall Stress, and Rupture Potential Index for Abdominal Aortic Aneurysm Rupture Risk Prediction
Andreas Maier (2010)
10.1098/rsif.2011.0054
Medical ultrasound: imaging of soft tissue strain and elasticity
Peter Neil Temple Wells (2011)
10.1016/j.ijcard.2017.11.106
Quantitative assessment of paravalvular leakage after transcatheter aortic valve replacement using a patient-specific pulsatile flow model.
Yutaka Tanaka (2018)
10.1007/S00348-008-0521-5
Volume self-calibration for 3D particle image velocimetry
Bernhard Wieneke (2008)
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)
10.1111/j.1475-1305.2007.00340.x
3D Strain Field Measurement by Correlation of Volume Images Using Scattered Light: Recording of Images and Choice of Marks
Arnaud Germaneau (2007)
10.1016/j.ijcard.2004.12.033
Finite element analysis of the implantation of a balloon-expandable stent in a stenosed artery.
Dongke Liang (2005)
10.1016/J.PIUTAM.2012.05.013
Digital Volume Correlation for Study of the Mechanics of Whole Bones.
Amira I. Hussein (2012)
10.1016/j.jbiomech.2003.12.036
A three-dimensional digital image correlation technique for strain measurements in microstructures.
E. Verhulp (2004)
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)
10.1007/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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