3D Heterogeneous Stiffness Reconstruction Using MRI and the Virtual Fields Method
Abstract The first extension of the virtual fields method to the reconstruction of heterogeneous stiffness properties from 3D bulk full-field displacement data is presented in this paper. Data are provided by Magnetic Resonance Imaging (MRI). Two main issues are addressed: 1. the identification of t...
Ausführliche Beschreibung
Autor*in: |
Avril, S. [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2008 |
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Schlagwörter: |
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Anmerkung: |
© Society for Experimental Mechanics 2008 |
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Übergeordnetes Werk: |
Enthalten in: Experimental mechanics - Springer US, 1961, 48(2008), 4 vom: 20. März, Seite 479-494 |
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Übergeordnetes Werk: |
volume:48 ; year:2008 ; number:4 ; day:20 ; month:03 ; pages:479-494 |
Links: |
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DOI / URN: |
10.1007/s11340-008-9128-2 |
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Katalog-ID: |
OLC2058174704 |
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520 | |a Abstract The first extension of the virtual fields method to the reconstruction of heterogeneous stiffness properties from 3D bulk full-field displacement data is presented in this paper. Data are provided by Magnetic Resonance Imaging (MRI). Two main issues are addressed: 1. the identification of the stiffness ratio between two different media in a heterogeneous solid; 2. the reconstruction of stiffness heterogeneities buried in a heterogeneous solid. The approach is based on a finite element discretization of the equilibrium equations. It is tested on experimental full-field data obtained on a phantom with the stimulated echo MRI technique. The phantom is made of a stiff spherical inclusion buried within a lower modulus material. Preliminary independent tests showed that the material of the inclusion was four times stiffer than the surrounding material. This ratio value is correctly identified by our approach directly on the phantom with the MRI data. Moreover, the modulus distribution is promisingly reconstructed across the whole investigated volume. However, the resulting modulus distribution is highly variable. This is explained by the fact that the approach relies on a second order differentiation of the data, which tends to amplify noise. Noise is significantly reduced by using appropriate filtering algorithms. | ||
650 | 4 | |a Virtual Fields Method | |
650 | 4 | |a MRI | |
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650 | 4 | |a 3D full-field measurements | |
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700 | 1 | |a Steele, D. D. |4 aut | |
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10.1007/s11340-008-9128-2 doi (DE-627)OLC2058174704 (DE-He213)s11340-008-9128-2-p DE-627 ger DE-627 rakwb eng 690 VZ Avril, S. verfasserin aut 3D Heterogeneous Stiffness Reconstruction Using MRI and the Virtual Fields Method 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Society for Experimental Mechanics 2008 Abstract The first extension of the virtual fields method to the reconstruction of heterogeneous stiffness properties from 3D bulk full-field displacement data is presented in this paper. Data are provided by Magnetic Resonance Imaging (MRI). Two main issues are addressed: 1. the identification of the stiffness ratio between two different media in a heterogeneous solid; 2. the reconstruction of stiffness heterogeneities buried in a heterogeneous solid. The approach is based on a finite element discretization of the equilibrium equations. It is tested on experimental full-field data obtained on a phantom with the stimulated echo MRI technique. The phantom is made of a stiff spherical inclusion buried within a lower modulus material. Preliminary independent tests showed that the material of the inclusion was four times stiffer than the surrounding material. This ratio value is correctly identified by our approach directly on the phantom with the MRI data. Moreover, the modulus distribution is promisingly reconstructed across the whole investigated volume. However, the resulting modulus distribution is highly variable. This is explained by the fact that the approach relies on a second order differentiation of the data, which tends to amplify noise. Noise is significantly reduced by using appropriate filtering algorithms. Virtual Fields Method MRI Elastography 3D full-field measurements Identification Huntley, J. M. aut Pierron, F. aut Steele, D. D. aut Enthalten in Experimental mechanics Springer US, 1961 48(2008), 4 vom: 20. März, Seite 479-494 (DE-627)129593990 (DE-600)240480-1 (DE-576)015086852 0014-4851 nnns volume:48 year:2008 number:4 day:20 month:03 pages:479-494 https://doi.org/10.1007/s11340-008-9128-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_23 GBV_ILN_62 GBV_ILN_70 GBV_ILN_2020 GBV_ILN_2057 GBV_ILN_4700 AR 48 2008 4 20 03 479-494 |
spelling |
10.1007/s11340-008-9128-2 doi (DE-627)OLC2058174704 (DE-He213)s11340-008-9128-2-p DE-627 ger DE-627 rakwb eng 690 VZ Avril, S. verfasserin aut 3D Heterogeneous Stiffness Reconstruction Using MRI and the Virtual Fields Method 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Society for Experimental Mechanics 2008 Abstract The first extension of the virtual fields method to the reconstruction of heterogeneous stiffness properties from 3D bulk full-field displacement data is presented in this paper. Data are provided by Magnetic Resonance Imaging (MRI). Two main issues are addressed: 1. the identification of the stiffness ratio between two different media in a heterogeneous solid; 2. the reconstruction of stiffness heterogeneities buried in a heterogeneous solid. The approach is based on a finite element discretization of the equilibrium equations. It is tested on experimental full-field data obtained on a phantom with the stimulated echo MRI technique. The phantom is made of a stiff spherical inclusion buried within a lower modulus material. Preliminary independent tests showed that the material of the inclusion was four times stiffer than the surrounding material. This ratio value is correctly identified by our approach directly on the phantom with the MRI data. Moreover, the modulus distribution is promisingly reconstructed across the whole investigated volume. However, the resulting modulus distribution is highly variable. This is explained by the fact that the approach relies on a second order differentiation of the data, which tends to amplify noise. Noise is significantly reduced by using appropriate filtering algorithms. Virtual Fields Method MRI Elastography 3D full-field measurements Identification Huntley, J. M. aut Pierron, F. aut Steele, D. D. aut Enthalten in Experimental mechanics Springer US, 1961 48(2008), 4 vom: 20. März, Seite 479-494 (DE-627)129593990 (DE-600)240480-1 (DE-576)015086852 0014-4851 nnns volume:48 year:2008 number:4 day:20 month:03 pages:479-494 https://doi.org/10.1007/s11340-008-9128-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_23 GBV_ILN_62 GBV_ILN_70 GBV_ILN_2020 GBV_ILN_2057 GBV_ILN_4700 AR 48 2008 4 20 03 479-494 |
allfields_unstemmed |
10.1007/s11340-008-9128-2 doi (DE-627)OLC2058174704 (DE-He213)s11340-008-9128-2-p DE-627 ger DE-627 rakwb eng 690 VZ Avril, S. verfasserin aut 3D Heterogeneous Stiffness Reconstruction Using MRI and the Virtual Fields Method 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Society for Experimental Mechanics 2008 Abstract The first extension of the virtual fields method to the reconstruction of heterogeneous stiffness properties from 3D bulk full-field displacement data is presented in this paper. Data are provided by Magnetic Resonance Imaging (MRI). Two main issues are addressed: 1. the identification of the stiffness ratio between two different media in a heterogeneous solid; 2. the reconstruction of stiffness heterogeneities buried in a heterogeneous solid. The approach is based on a finite element discretization of the equilibrium equations. It is tested on experimental full-field data obtained on a phantom with the stimulated echo MRI technique. The phantom is made of a stiff spherical inclusion buried within a lower modulus material. Preliminary independent tests showed that the material of the inclusion was four times stiffer than the surrounding material. This ratio value is correctly identified by our approach directly on the phantom with the MRI data. Moreover, the modulus distribution is promisingly reconstructed across the whole investigated volume. However, the resulting modulus distribution is highly variable. This is explained by the fact that the approach relies on a second order differentiation of the data, which tends to amplify noise. Noise is significantly reduced by using appropriate filtering algorithms. Virtual Fields Method MRI Elastography 3D full-field measurements Identification Huntley, J. M. aut Pierron, F. aut Steele, D. D. aut Enthalten in Experimental mechanics Springer US, 1961 48(2008), 4 vom: 20. März, Seite 479-494 (DE-627)129593990 (DE-600)240480-1 (DE-576)015086852 0014-4851 nnns volume:48 year:2008 number:4 day:20 month:03 pages:479-494 https://doi.org/10.1007/s11340-008-9128-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_23 GBV_ILN_62 GBV_ILN_70 GBV_ILN_2020 GBV_ILN_2057 GBV_ILN_4700 AR 48 2008 4 20 03 479-494 |
allfieldsGer |
10.1007/s11340-008-9128-2 doi (DE-627)OLC2058174704 (DE-He213)s11340-008-9128-2-p DE-627 ger DE-627 rakwb eng 690 VZ Avril, S. verfasserin aut 3D Heterogeneous Stiffness Reconstruction Using MRI and the Virtual Fields Method 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Society for Experimental Mechanics 2008 Abstract The first extension of the virtual fields method to the reconstruction of heterogeneous stiffness properties from 3D bulk full-field displacement data is presented in this paper. Data are provided by Magnetic Resonance Imaging (MRI). Two main issues are addressed: 1. the identification of the stiffness ratio between two different media in a heterogeneous solid; 2. the reconstruction of stiffness heterogeneities buried in a heterogeneous solid. The approach is based on a finite element discretization of the equilibrium equations. It is tested on experimental full-field data obtained on a phantom with the stimulated echo MRI technique. The phantom is made of a stiff spherical inclusion buried within a lower modulus material. Preliminary independent tests showed that the material of the inclusion was four times stiffer than the surrounding material. This ratio value is correctly identified by our approach directly on the phantom with the MRI data. Moreover, the modulus distribution is promisingly reconstructed across the whole investigated volume. However, the resulting modulus distribution is highly variable. This is explained by the fact that the approach relies on a second order differentiation of the data, which tends to amplify noise. Noise is significantly reduced by using appropriate filtering algorithms. Virtual Fields Method MRI Elastography 3D full-field measurements Identification Huntley, J. M. aut Pierron, F. aut Steele, D. D. aut Enthalten in Experimental mechanics Springer US, 1961 48(2008), 4 vom: 20. März, Seite 479-494 (DE-627)129593990 (DE-600)240480-1 (DE-576)015086852 0014-4851 nnns volume:48 year:2008 number:4 day:20 month:03 pages:479-494 https://doi.org/10.1007/s11340-008-9128-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_23 GBV_ILN_62 GBV_ILN_70 GBV_ILN_2020 GBV_ILN_2057 GBV_ILN_4700 AR 48 2008 4 20 03 479-494 |
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10.1007/s11340-008-9128-2 doi (DE-627)OLC2058174704 (DE-He213)s11340-008-9128-2-p DE-627 ger DE-627 rakwb eng 690 VZ Avril, S. verfasserin aut 3D Heterogeneous Stiffness Reconstruction Using MRI and the Virtual Fields Method 2008 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Society for Experimental Mechanics 2008 Abstract The first extension of the virtual fields method to the reconstruction of heterogeneous stiffness properties from 3D bulk full-field displacement data is presented in this paper. Data are provided by Magnetic Resonance Imaging (MRI). Two main issues are addressed: 1. the identification of the stiffness ratio between two different media in a heterogeneous solid; 2. the reconstruction of stiffness heterogeneities buried in a heterogeneous solid. The approach is based on a finite element discretization of the equilibrium equations. It is tested on experimental full-field data obtained on a phantom with the stimulated echo MRI technique. The phantom is made of a stiff spherical inclusion buried within a lower modulus material. Preliminary independent tests showed that the material of the inclusion was four times stiffer than the surrounding material. This ratio value is correctly identified by our approach directly on the phantom with the MRI data. Moreover, the modulus distribution is promisingly reconstructed across the whole investigated volume. However, the resulting modulus distribution is highly variable. This is explained by the fact that the approach relies on a second order differentiation of the data, which tends to amplify noise. Noise is significantly reduced by using appropriate filtering algorithms. Virtual Fields Method MRI Elastography 3D full-field measurements Identification Huntley, J. M. aut Pierron, F. aut Steele, D. D. aut Enthalten in Experimental mechanics Springer US, 1961 48(2008), 4 vom: 20. März, Seite 479-494 (DE-627)129593990 (DE-600)240480-1 (DE-576)015086852 0014-4851 nnns volume:48 year:2008 number:4 day:20 month:03 pages:479-494 https://doi.org/10.1007/s11340-008-9128-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_23 GBV_ILN_62 GBV_ILN_70 GBV_ILN_2020 GBV_ILN_2057 GBV_ILN_4700 AR 48 2008 4 20 03 479-494 |
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3D Heterogeneous Stiffness Reconstruction Using MRI and the Virtual Fields Method |
abstract |
Abstract The first extension of the virtual fields method to the reconstruction of heterogeneous stiffness properties from 3D bulk full-field displacement data is presented in this paper. Data are provided by Magnetic Resonance Imaging (MRI). Two main issues are addressed: 1. the identification of the stiffness ratio between two different media in a heterogeneous solid; 2. the reconstruction of stiffness heterogeneities buried in a heterogeneous solid. The approach is based on a finite element discretization of the equilibrium equations. It is tested on experimental full-field data obtained on a phantom with the stimulated echo MRI technique. The phantom is made of a stiff spherical inclusion buried within a lower modulus material. Preliminary independent tests showed that the material of the inclusion was four times stiffer than the surrounding material. This ratio value is correctly identified by our approach directly on the phantom with the MRI data. Moreover, the modulus distribution is promisingly reconstructed across the whole investigated volume. However, the resulting modulus distribution is highly variable. This is explained by the fact that the approach relies on a second order differentiation of the data, which tends to amplify noise. Noise is significantly reduced by using appropriate filtering algorithms. © Society for Experimental Mechanics 2008 |
abstractGer |
Abstract The first extension of the virtual fields method to the reconstruction of heterogeneous stiffness properties from 3D bulk full-field displacement data is presented in this paper. Data are provided by Magnetic Resonance Imaging (MRI). Two main issues are addressed: 1. the identification of the stiffness ratio between two different media in a heterogeneous solid; 2. the reconstruction of stiffness heterogeneities buried in a heterogeneous solid. The approach is based on a finite element discretization of the equilibrium equations. It is tested on experimental full-field data obtained on a phantom with the stimulated echo MRI technique. The phantom is made of a stiff spherical inclusion buried within a lower modulus material. Preliminary independent tests showed that the material of the inclusion was four times stiffer than the surrounding material. This ratio value is correctly identified by our approach directly on the phantom with the MRI data. Moreover, the modulus distribution is promisingly reconstructed across the whole investigated volume. However, the resulting modulus distribution is highly variable. This is explained by the fact that the approach relies on a second order differentiation of the data, which tends to amplify noise. Noise is significantly reduced by using appropriate filtering algorithms. © Society for Experimental Mechanics 2008 |
abstract_unstemmed |
Abstract The first extension of the virtual fields method to the reconstruction of heterogeneous stiffness properties from 3D bulk full-field displacement data is presented in this paper. Data are provided by Magnetic Resonance Imaging (MRI). Two main issues are addressed: 1. the identification of the stiffness ratio between two different media in a heterogeneous solid; 2. the reconstruction of stiffness heterogeneities buried in a heterogeneous solid. The approach is based on a finite element discretization of the equilibrium equations. It is tested on experimental full-field data obtained on a phantom with the stimulated echo MRI technique. The phantom is made of a stiff spherical inclusion buried within a lower modulus material. Preliminary independent tests showed that the material of the inclusion was four times stiffer than the surrounding material. This ratio value is correctly identified by our approach directly on the phantom with the MRI data. Moreover, the modulus distribution is promisingly reconstructed across the whole investigated volume. However, the resulting modulus distribution is highly variable. This is explained by the fact that the approach relies on a second order differentiation of the data, which tends to amplify noise. Noise is significantly reduced by using appropriate filtering algorithms. © Society for Experimental Mechanics 2008 |
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container_issue |
4 |
title_short |
3D Heterogeneous Stiffness Reconstruction Using MRI and the Virtual Fields Method |
url |
https://doi.org/10.1007/s11340-008-9128-2 |
remote_bool |
false |
author2 |
Huntley, J. M. Pierron, F. Steele, D. D. |
author2Str |
Huntley, J. M. Pierron, F. Steele, D. D. |
ppnlink |
129593990 |
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hochschulschrift_bool |
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doi_str |
10.1007/s11340-008-9128-2 |
up_date |
2024-07-03T17:58:50.128Z |
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1803581684583497728 |
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7.397253 |