Verification of a virtual fields method to extract the mechanical properties of human optic nerve head tissues in vivo
We aimed to verify a custom virtual fields method (VFM) to estimate the patient-specific biomechanical properties of human optic nerve head (ONH) tissues, given their full-field deformations induced by intraocular pressure (IOP). To verify the accuracy of VFM, we first generated ‘artificial’ ONH dis...
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| Veröffentlicht in: | Biomechanics and modeling in mechanobiology 2017-06, Vol.16 (3), p.871-887 |
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| creator | Zhang, Liang Thakku, Sri Gowtham Beotra, Meghna R. Baskaran, Mani Aung, Tin Goh, James C. H. Strouthidis, Nicholas G. Girard, Michael J. A. |
| description | We aimed to verify a custom virtual fields method (VFM) to estimate the patient-specific biomechanical properties of human optic nerve head (ONH) tissues, given their full-field deformations induced by intraocular pressure (IOP). To verify the accuracy of VFM, we first generated ‘artificial’ ONH displacements from predetermined (known) ONH tissue biomechanical properties using finite element analysis. Using such deformations, if we are able to match back the known biomechanical properties, it would indicate that our VFM technique is accurate. The peripapillary sclera was assumed anisotropic hyperelastic, while all other ONH tissues were considered isotropic. The simulated ONH displacements were fed into the VFM algorithm to extract back the biomechanical properties. The robustness of VFM was also tested against rigid body motions and noise added to the simulated displacements. Then, the computational speed of VFM was compared to that of a gold-standard stiffness measurement method (inverse finite element method or IFEM). Finally, as proof of principle, VFM was applied to IOP-induced ONH deformation data (obtained from one subject’s eye imaged with OCT), and the biomechanical properties of the prelamina and lamina cribrosa (LC) were extracted. From given ONH displacements, VFM successfully matched back the biomechanical properties of ONH tissues with high accuracy and efficiency. For all parameters, the percentage errors were less than 0.05%. Our method was insensitive to rigid body motions and was also able to recover the material parameters in the presence of noise. VFM was also found 125 times faster than the gold-standard IFEM. Finally, the estimated shear modulus for the prelamina and the LC of the studied subject’s eye were 33.7 and 63.5 kPa, respectively. VFM may be capable of measuring the biomechanical properties of ONH tissues with high speed and accuracy. It has potential in identifying patient-specific ONH biomechanical properties in the clinic if combined with optical coherence tomography. |
| doi_str_mv | 10.1007/s10237-016-0858-2 |
| format | Article |
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H. ; Strouthidis, Nicholas G. ; Girard, Michael J. A.</creator><creatorcontrib>Zhang, Liang ; Thakku, Sri Gowtham ; Beotra, Meghna R. ; Baskaran, Mani ; Aung, Tin ; Goh, James C. H. ; Strouthidis, Nicholas G. ; Girard, Michael J. A.</creatorcontrib><description>We aimed to verify a custom virtual fields method (VFM) to estimate the patient-specific biomechanical properties of human optic nerve head (ONH) tissues, given their full-field deformations induced by intraocular pressure (IOP). To verify the accuracy of VFM, we first generated ‘artificial’ ONH displacements from predetermined (known) ONH tissue biomechanical properties using finite element analysis. Using such deformations, if we are able to match back the known biomechanical properties, it would indicate that our VFM technique is accurate. The peripapillary sclera was assumed anisotropic hyperelastic, while all other ONH tissues were considered isotropic. The simulated ONH displacements were fed into the VFM algorithm to extract back the biomechanical properties. The robustness of VFM was also tested against rigid body motions and noise added to the simulated displacements. Then, the computational speed of VFM was compared to that of a gold-standard stiffness measurement method (inverse finite element method or IFEM). Finally, as proof of principle, VFM was applied to IOP-induced ONH deformation data (obtained from one subject’s eye imaged with OCT), and the biomechanical properties of the prelamina and lamina cribrosa (LC) were extracted. From given ONH displacements, VFM successfully matched back the biomechanical properties of ONH tissues with high accuracy and efficiency. For all parameters, the percentage errors were less than 0.05%. Our method was insensitive to rigid body motions and was also able to recover the material parameters in the presence of noise. VFM was also found 125 times faster than the gold-standard IFEM. Finally, the estimated shear modulus for the prelamina and the LC of the studied subject’s eye were 33.7 and 63.5 kPa, respectively. VFM may be capable of measuring the biomechanical properties of ONH tissues with high speed and accuracy. It has potential in identifying patient-specific ONH biomechanical properties in the clinic if combined with optical coherence tomography.</description><identifier>ISSN: 1617-7959</identifier><identifier>EISSN: 1617-7940</identifier><identifier>DOI: 10.1007/s10237-016-0858-2</identifier><identifier>PMID: 27909833</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Accuracy ; Algorithms ; Biological and Medical Physics ; Biomechanical engineering ; Biomechanical Phenomena ; Biomechanics ; Biomedical Engineering and Bioengineering ; Biophysics ; Biophysics - methods ; Computer applications ; Computer simulation ; Displacement ; Engineering ; Eye ; Finite Element Analysis ; Finite element method ; Gold ; Humans ; In vivo methods and tests ; Intraocular Pressure ; Measurement methods ; Mechanical properties ; Models, Biological ; Optic Disk - pathology ; Optic Disk - physiology ; Optic nerve ; Optical properties ; Original Paper ; Parameters ; Rigid structures ; Shear modulus ; Skin & tissue grafts ; Space life sciences ; Stiffness ; Stress, Mechanical ; Theoretical and Applied Mechanics ; Tissues</subject><ispartof>Biomechanics and modeling in mechanobiology, 2017-06, Vol.16 (3), p.871-887</ispartof><rights>Springer-Verlag Berlin Heidelberg 2016</rights><rights>Biomechanics and Modeling in Mechanobiology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-df24effe81ceb5dfccba7d1b8c7f3a24d13a05167c041fb40f6ab7b79827de113</citedby><cites>FETCH-LOGICAL-c372t-df24effe81ceb5dfccba7d1b8c7f3a24d13a05167c041fb40f6ab7b79827de113</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10237-016-0858-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10237-016-0858-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27909833$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Liang</creatorcontrib><creatorcontrib>Thakku, Sri Gowtham</creatorcontrib><creatorcontrib>Beotra, Meghna R.</creatorcontrib><creatorcontrib>Baskaran, Mani</creatorcontrib><creatorcontrib>Aung, Tin</creatorcontrib><creatorcontrib>Goh, James C. H.</creatorcontrib><creatorcontrib>Strouthidis, Nicholas G.</creatorcontrib><creatorcontrib>Girard, Michael J. A.</creatorcontrib><title>Verification of a virtual fields method to extract the mechanical properties of human optic nerve head tissues in vivo</title><title>Biomechanics and modeling in mechanobiology</title><addtitle>Biomech Model Mechanobiol</addtitle><addtitle>Biomech Model Mechanobiol</addtitle><description>We aimed to verify a custom virtual fields method (VFM) to estimate the patient-specific biomechanical properties of human optic nerve head (ONH) tissues, given their full-field deformations induced by intraocular pressure (IOP). To verify the accuracy of VFM, we first generated ‘artificial’ ONH displacements from predetermined (known) ONH tissue biomechanical properties using finite element analysis. Using such deformations, if we are able to match back the known biomechanical properties, it would indicate that our VFM technique is accurate. The peripapillary sclera was assumed anisotropic hyperelastic, while all other ONH tissues were considered isotropic. The simulated ONH displacements were fed into the VFM algorithm to extract back the biomechanical properties. The robustness of VFM was also tested against rigid body motions and noise added to the simulated displacements. Then, the computational speed of VFM was compared to that of a gold-standard stiffness measurement method (inverse finite element method or IFEM). Finally, as proof of principle, VFM was applied to IOP-induced ONH deformation data (obtained from one subject’s eye imaged with OCT), and the biomechanical properties of the prelamina and lamina cribrosa (LC) were extracted. From given ONH displacements, VFM successfully matched back the biomechanical properties of ONH tissues with high accuracy and efficiency. For all parameters, the percentage errors were less than 0.05%. Our method was insensitive to rigid body motions and was also able to recover the material parameters in the presence of noise. VFM was also found 125 times faster than the gold-standard IFEM. Finally, the estimated shear modulus for the prelamina and the LC of the studied subject’s eye were 33.7 and 63.5 kPa, respectively. VFM may be capable of measuring the biomechanical properties of ONH tissues with high speed and accuracy. It has potential in identifying patient-specific ONH biomechanical properties in the clinic if combined with optical coherence tomography.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Biological and Medical Physics</subject><subject>Biomechanical engineering</subject><subject>Biomechanical Phenomena</subject><subject>Biomechanics</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biophysics</subject><subject>Biophysics - methods</subject><subject>Computer applications</subject><subject>Computer simulation</subject><subject>Displacement</subject><subject>Engineering</subject><subject>Eye</subject><subject>Finite Element Analysis</subject><subject>Finite element method</subject><subject>Gold</subject><subject>Humans</subject><subject>In vivo methods and tests</subject><subject>Intraocular Pressure</subject><subject>Measurement methods</subject><subject>Mechanical properties</subject><subject>Models, Biological</subject><subject>Optic Disk - pathology</subject><subject>Optic Disk - physiology</subject><subject>Optic nerve</subject><subject>Optical properties</subject><subject>Original Paper</subject><subject>Parameters</subject><subject>Rigid structures</subject><subject>Shear modulus</subject><subject>Skin & tissue grafts</subject><subject>Space life sciences</subject><subject>Stiffness</subject><subject>Stress, Mechanical</subject><subject>Theoretical and Applied Mechanics</subject><subject>Tissues</subject><issn>1617-7959</issn><issn>1617-7940</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kUFr3DAQhUVpaZJNf0AvRdBLLm40km3JxxLaJBDIJc1VyPKoVrCtrSQv6b-Plk1CKeSkQfO9N8M8Qj4D-waMyfMEjAtZMWgrphpV8XfkGFqQlexq9v61brojcpLSA2OcCSU-kiMuO9YpIY7J7h6jd96a7MNCg6OG7nzMq5mo8zgNic6YxzDQHCg-5mhspnnE8mtHsxTdRLcxbDFmj2mvH9fZFKNt9pYuGHdIRzRF7lNaC-GX4r8Lp-SDM1PCT8_vhvz6-ePu4qq6ub28vvh-U1khea4Gx2t0DhVY7JvBWdsbOUCvrHTC8HoAYVgDrbSsBtfXzLWml73sFJcDAogNOTv4liX_lPlZzz5ZnCazYFiTBlU3ijOuZEG__oc-hDUuZbtCdV0LwMvFNgQOlI0hpYhOb6OfTfyrgel9KPoQii6h6H0omhfNl2fntZ9xeFW8pFAAfgBSaS2_Mf4z-k3XJ-NSmVQ</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Zhang, Liang</creator><creator>Thakku, Sri Gowtham</creator><creator>Beotra, Meghna R.</creator><creator>Baskaran, Mani</creator><creator>Aung, Tin</creator><creator>Goh, James C. 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A.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7TB</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope><scope>7X8</scope></search><sort><creationdate>20170601</creationdate><title>Verification of a virtual fields method to extract the mechanical properties of human optic nerve head tissues in vivo</title><author>Zhang, Liang ; Thakku, Sri Gowtham ; Beotra, Meghna R. ; Baskaran, Mani ; Aung, Tin ; Goh, James C. 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H.</au><au>Strouthidis, Nicholas G.</au><au>Girard, Michael J. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Verification of a virtual fields method to extract the mechanical properties of human optic nerve head tissues in vivo</atitle><jtitle>Biomechanics and modeling in mechanobiology</jtitle><stitle>Biomech Model Mechanobiol</stitle><addtitle>Biomech Model Mechanobiol</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>16</volume><issue>3</issue><spage>871</spage><epage>887</epage><pages>871-887</pages><issn>1617-7959</issn><eissn>1617-7940</eissn><abstract>We aimed to verify a custom virtual fields method (VFM) to estimate the patient-specific biomechanical properties of human optic nerve head (ONH) tissues, given their full-field deformations induced by intraocular pressure (IOP). To verify the accuracy of VFM, we first generated ‘artificial’ ONH displacements from predetermined (known) ONH tissue biomechanical properties using finite element analysis. Using such deformations, if we are able to match back the known biomechanical properties, it would indicate that our VFM technique is accurate. The peripapillary sclera was assumed anisotropic hyperelastic, while all other ONH tissues were considered isotropic. The simulated ONH displacements were fed into the VFM algorithm to extract back the biomechanical properties. The robustness of VFM was also tested against rigid body motions and noise added to the simulated displacements. Then, the computational speed of VFM was compared to that of a gold-standard stiffness measurement method (inverse finite element method or IFEM). Finally, as proof of principle, VFM was applied to IOP-induced ONH deformation data (obtained from one subject’s eye imaged with OCT), and the biomechanical properties of the prelamina and lamina cribrosa (LC) were extracted. From given ONH displacements, VFM successfully matched back the biomechanical properties of ONH tissues with high accuracy and efficiency. For all parameters, the percentage errors were less than 0.05%. Our method was insensitive to rigid body motions and was also able to recover the material parameters in the presence of noise. VFM was also found 125 times faster than the gold-standard IFEM. Finally, the estimated shear modulus for the prelamina and the LC of the studied subject’s eye were 33.7 and 63.5 kPa, respectively. VFM may be capable of measuring the biomechanical properties of ONH tissues with high speed and accuracy. It has potential in identifying patient-specific ONH biomechanical properties in the clinic if combined with optical coherence tomography.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>27909833</pmid><doi>10.1007/s10237-016-0858-2</doi><tpages>17</tpages></addata></record> |
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| ispartof | Biomechanics and modeling in mechanobiology, 2017-06, Vol.16 (3), p.871-887 |
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| subjects | Accuracy Algorithms Biological and Medical Physics Biomechanical engineering Biomechanical Phenomena Biomechanics Biomedical Engineering and Bioengineering Biophysics Biophysics - methods Computer applications Computer simulation Displacement Engineering Eye Finite Element Analysis Finite element method Gold Humans In vivo methods and tests Intraocular Pressure Measurement methods Mechanical properties Models, Biological Optic Disk - pathology Optic Disk - physiology Optic nerve Optical properties Original Paper Parameters Rigid structures Shear modulus Skin & tissue grafts Space life sciences Stiffness Stress, Mechanical Theoretical and Applied Mechanics Tissues |
| title | Verification of a virtual fields method to extract the mechanical properties of human optic nerve head tissues in vivo |
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