Microwave tomographic imaging of cerebrovascular accidents by using high-performance computing
•Feasibility of a microwave tomographic imaging technique for brain strokes.•Scalable domain decomposition solver for Maxwell’s equations on thousands of cores.•Implementation of a nonlinear optimization algorithm in a parallel framework.•Synthetic data generated from a very accurate virtual head mo...
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| Published in | Parallel computing Vol. 85; pp. 88 - 97 |
|---|---|
| Main Authors | , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.07.2019
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0167-8191 1872-7336 1872-7336 |
| DOI | 10.1016/j.parco.2019.02.004 |
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| Abstract | •Feasibility of a microwave tomographic imaging technique for brain strokes.•Scalable domain decomposition solver for Maxwell’s equations on thousands of cores.•Implementation of a nonlinear optimization algorithm in a parallel framework.•Synthetic data generated from a very accurate virtual head model.
The motivation of this work is the detection of cerebrovascular accidents by microwave tomographic imaging. This requires the solution of an inverse problem relying on a minimization algorithm (for example, gradient-based), where successive iterations consist in repeated solutions of a direct problem. The reconstruction algorithm is extremely computationally intensive and makes use of efficient parallel algorithms and high-performance computing. The feasibility of this type of imaging is conditioned on one hand by an accurate reconstruction of the material properties of the propagation medium and on the other hand by a considerable reduction in simulation time. Fulfilling these two requirements will enable a very rapid and accurate diagnosis. From the mathematical and numerical point of view, this means solving Maxwell’s equations in time-harmonic regime by appropriate domain decomposition methods, which are naturally adapted to parallel architectures. |
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| AbstractList | The motivation of this work is the detection of cerebrovascular accidents by microwave tomographic imaging. This requires the solution of an inverse problem relying on a minimization algorithm (for example, gradient-based), where successive iterations consist in repeated solutions of a direct problem. The reconstruction algorithm is extremely computationally intensive and makes use of efficient parallel algorithms and high-performance computing. The feasibility of this type of imaging is conditioned on one hand by an accurate reconstruction of the material properties of the propagation medium and on the other hand by a considerable reduction in simulation time. Fulfilling these two requirements will enable a very rapid and accurate diagnosis. From the mathematical and numerical point of view, this means solving Maxwell's equations in time-harmonic regime by appropriate domain decomposition methods, which are naturally adapted to parallel architectures. •Feasibility of a microwave tomographic imaging technique for brain strokes.•Scalable domain decomposition solver for Maxwell’s equations on thousands of cores.•Implementation of a nonlinear optimization algorithm in a parallel framework.•Synthetic data generated from a very accurate virtual head model. The motivation of this work is the detection of cerebrovascular accidents by microwave tomographic imaging. This requires the solution of an inverse problem relying on a minimization algorithm (for example, gradient-based), where successive iterations consist in repeated solutions of a direct problem. The reconstruction algorithm is extremely computationally intensive and makes use of efficient parallel algorithms and high-performance computing. The feasibility of this type of imaging is conditioned on one hand by an accurate reconstruction of the material properties of the propagation medium and on the other hand by a considerable reduction in simulation time. Fulfilling these two requirements will enable a very rapid and accurate diagnosis. From the mathematical and numerical point of view, this means solving Maxwell’s equations in time-harmonic regime by appropriate domain decomposition methods, which are naturally adapted to parallel architectures. The motivation of this work is the detection of cerebrovascular accidents by microwave tomographic imaging. This requires the solution of an inverse problem relying on a minimization algorithm (for example, gradient-based), where successive iterations consist in repeated solutions of a direct problem. The reconstruction algorithm is extremely computationally intensive and makes use of efficient parallel algorithms and high-performance computing. The feasibility of this type of imaging is conditioned on one hand by an accurate reconstruction of the material properties of the propagation medium and on the other hand by a considerable reduction in simulation time. Fulfilling these two requirements will enable a very rapid and accurate diagnosis. From the mathematical and numerical point of view, this means solving Maxwell's equations in time-harmonic regime by appropriate domain decomposition methods, which are naturally adapted to parallel architectures. |
| Author | Hecht, F. Jolivet, P. Migliaccio, C. Bonazzoli, M. Darbas, M. Nataf, F. Aliferis, I. Dolean, V. El Kanfoud, I. Tournier, P.-H. Buhan, M. de Pichot, Ch Semenov, S. |
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| Cites_doi | 10.1109/PROC.1982.12341 10.1137/S0895479899358194 10.1137/S1064827595287997 10.1137/060652610 10.1155/2008/254830 10.1109/MAP.2005.1436217 10.1137/040607277 10.1016/j.future.2003.07.011 10.1109/LAWP.2013.2255095 10.1007/BF01396415 10.1002/(SICI)1097-0207(19990710)45:7<901::AID-NME611>3.0.CO;2-4 |
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| Keywords | Scalable preconditioners Maxwell’s equations Inverse problem Microwave imaging Maxwell's equations |
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| References | Amestoy, Duff, L’Excellent, Koster (bib0020) 2001; 23 Dolean, Jolivet, Nataf (bib0011) 2015 Hecht (bib0016) 2012; 20 Li, Bond, Van Veen, Hagness (bib0005) 2005; 47 Pichot, Lobel, Blanc-Féraud, Barlaud, Belkebir, Elissalt, Geffrin (bib0007) 1997 Semenov, Seiser, Stoegmann, Auff (bib0003) 2014 St-Cyr, Gander, Thomas (bib0014) 2007; 29 Semenov, Corfield (bib0002) 2008 Karypis, Kumar (bib0013) 1998; 20 Parks, De Sturler, Mackey, Johnson, Maiti (bib0021) 2006; 28 Irishina, Torrente (bib0008) 2013; 2013 Pellegrini, Roman (bib0012) 1996 Beck, Hiptmair (bib0009) 1999; 45 Lin, Clarke (bib0001) 1982; 70 Nédélec (bib0010) 1980; 35 Després, Joly, Roberts (bib0015) 1992 Mustafa, Mohammed, Abbosh (bib0004) 2013; 12 Schenk, Gärtner (bib0019) 2004; 20 Jolivet, Dolean, Hecht, Nataf, Prud’homme, Spillane (bib0017) 2012; 20 Zamani, Abbosh, Mobashsher (bib0006) 2016; 64 Jolivet, Hecht, Nataf, Prud’homme (bib0018) 2013 Hecht (10.1016/j.parco.2019.02.004_bib0016) 2012; 20 Mustafa (10.1016/j.parco.2019.02.004_bib0004) 2013; 12 Amestoy (10.1016/j.parco.2019.02.004_bib0020) 2001; 23 Lin (10.1016/j.parco.2019.02.004_bib0001) 1982; 70 Semenov (10.1016/j.parco.2019.02.004_bib0002) 2008 Pichot (10.1016/j.parco.2019.02.004_bib0007) 1997 Jolivet (10.1016/j.parco.2019.02.004_bib0017) 2012; 20 Nédélec (10.1016/j.parco.2019.02.004_bib0010) 1980; 35 Karypis (10.1016/j.parco.2019.02.004_bib0013) 1998; 20 Li (10.1016/j.parco.2019.02.004_bib0005) 2005; 47 Dolean (10.1016/j.parco.2019.02.004_bib0011) 2015 Schenk (10.1016/j.parco.2019.02.004_bib0019) 2004; 20 Irishina (10.1016/j.parco.2019.02.004_bib0008) 2013; 2013 Semenov (10.1016/j.parco.2019.02.004_bib0003) 2014 Després (10.1016/j.parco.2019.02.004_bib0015) 1992 Parks (10.1016/j.parco.2019.02.004_bib0021) 2006; 28 Zamani (10.1016/j.parco.2019.02.004_bib0006) 2016; 64 Beck (10.1016/j.parco.2019.02.004_bib0009) 1999; 45 Jolivet (10.1016/j.parco.2019.02.004_bib0018) 2013 St-Cyr (10.1016/j.parco.2019.02.004_bib0014) 2007; 29 Pellegrini (10.1016/j.parco.2019.02.004_bib0012) 1996 |
| References_xml | – volume: 47 start-page: 19 year: 2005 end-page: 34 ident: bib0005 article-title: An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection publication-title: IEEE Antennas Propag. Mag. – year: 2015 ident: bib0011 article-title: An Introduction to Domain Decomposition Methods: Algorithms, Theory and Parallel Implementation – volume: 12 start-page: 460 year: 2013 end-page: 463 ident: bib0004 article-title: Novel preprocessing techniques for accurate microwave imaging of human brain publication-title: IEEE Antennas Wireless Propag. Lett. – volume: 23 start-page: 15 year: 2001 end-page: 41 ident: bib0020 article-title: A fully asynchronous multifrontal solver using distributed dynamic scheduling publication-title: SIAM J. Matrix Anal. Appl. – volume: 20 start-page: 251 year: 2012 end-page: 265 ident: bib0016 article-title: New development in FreeFem++ publication-title: J. Numer. Math. – year: 2014 ident: bib0003 article-title: Electromagnetic tomography for brain imaging: from virtual to human brain publication-title: 2014 IEEE Conference on Antenna Measurements & Applications (CAMA) – volume: 20 start-page: 287 year: 2012 end-page: 302 ident: bib0017 article-title: High-performance domain decomposition methods on massively parallel architectures with FreeFem++ publication-title: J. Numer. Math. – start-page: 493 year: 1996 end-page: 498 ident: bib0012 article-title: SCOTCH: a software package for static mapping by dual recursive bipartitioning of process and architecture graphs publication-title: High-Performance Computing and Networking – volume: 45 start-page: 901 year: 1999 end-page: 920 ident: bib0009 article-title: Multilevel solution of the time-harmonic Maxwell’s equations based on edge elements publication-title: Int. J. Numer. Methods Eng. – volume: 35 start-page: 315 year: 1980 end-page: 341 ident: bib0010 article-title: Mixed finite elements in publication-title: Numerische Mathematik – start-page: 475 year: 1992 end-page: 484 ident: bib0015 article-title: A domain decomposition method for the harmonic Maxwell equations publication-title: Iterative Methods in Linear Algebra (Brussels, 1991) – volume: 29 start-page: 2402 year: 2007 end-page: 2425) ident: bib0014 article-title: Optimized multiplicative, additive, and restricted additive Schwarz preconditioning publication-title: SIAM J. Sci. Comput. – volume: 64 start-page: 653 year: 2016 end-page: 662 ident: bib0006 article-title: Fast frequency-based multistatic microwave imaging algorithm with application to brain injury detection publication-title: IEEE Trans. Microwave Theory Tech. – year: 2008 ident: bib0002 article-title: Microwave tomography for brain imaging: feasibility assessment for stroke detection publication-title: Int. J. Antennas Propag. – start-page: 168 year: 1997 end-page: 187 ident: bib0007 article-title: Gradient and Newton–Kantorovich methods for microwave tomography publication-title: Inverse Problems in Medical Imaging and Nondestructive Testing – volume: 20 start-page: 359 year: 1998 end-page: 392 ident: bib0013 article-title: A fast and high quality multilevel scheme for partitioning irregular graphs publication-title: SIAM J. Sci. Comput. – volume: 70 start-page: 523 year: 1982 end-page: 524 ident: bib0001 article-title: Microwave imaging of cerebral edema publication-title: Proc. IEEE – start-page: 1 year: 2013 end-page: 11 ident: bib0018 article-title: Scalable domain decomposition preconditioners for heterogeneous elliptic problems publication-title: Proc. of the Int. Conference on High Performance Computing, Networking, Storage and Analysis – volume: 2013 year: 2013 ident: bib0008 article-title: Brain stroke detection by microwaves using prior information from clinical databases publication-title: Abstract and Applied Analysis – volume: 20 start-page: 475 year: 2004 end-page: 487 ident: bib0019 article-title: Solving unsymmetric sparse systems of linear equations with PARDISO publication-title: Future Gener. Comput. Syst. – volume: 28 start-page: 1651 year: 2006 end-page: 1674 ident: bib0021 article-title: Recycling Krylov subspaces for sequences of linear systems publication-title: SIAM J. Sci. Comput. – volume: 70 start-page: 523 issue: 5 year: 1982 ident: 10.1016/j.parco.2019.02.004_bib0001 article-title: Microwave imaging of cerebral edema publication-title: Proc. IEEE doi: 10.1109/PROC.1982.12341 – volume: 23 start-page: 15 issue: 1 year: 2001 ident: 10.1016/j.parco.2019.02.004_bib0020 article-title: A fully asynchronous multifrontal solver using distributed dynamic scheduling publication-title: SIAM J. Matrix Anal. Appl. doi: 10.1137/S0895479899358194 – start-page: 493 year: 1996 ident: 10.1016/j.parco.2019.02.004_bib0012 article-title: SCOTCH: a software package for static mapping by dual recursive bipartitioning of process and architecture graphs – volume: 20 start-page: 359 issue: 1 year: 1998 ident: 10.1016/j.parco.2019.02.004_bib0013 article-title: A fast and high quality multilevel scheme for partitioning irregular graphs publication-title: SIAM J. Sci. Comput. doi: 10.1137/S1064827595287997 – year: 2014 ident: 10.1016/j.parco.2019.02.004_bib0003 article-title: Electromagnetic tomography for brain imaging: from virtual to human brain – volume: 20 start-page: 287 issue: 3–4 year: 2012 ident: 10.1016/j.parco.2019.02.004_bib0017 article-title: High-performance domain decomposition methods on massively parallel architectures with FreeFem++ publication-title: J. Numer. Math. – start-page: 475 year: 1992 ident: 10.1016/j.parco.2019.02.004_bib0015 article-title: A domain decomposition method for the harmonic Maxwell equations – volume: 64 start-page: 653 issue: 2 year: 2016 ident: 10.1016/j.parco.2019.02.004_bib0006 article-title: Fast frequency-based multistatic microwave imaging algorithm with application to brain injury detection publication-title: IEEE Trans. Microwave Theory Tech. – volume: 2013 year: 2013 ident: 10.1016/j.parco.2019.02.004_bib0008 article-title: Brain stroke detection by microwaves using prior information from clinical databases – year: 2015 ident: 10.1016/j.parco.2019.02.004_bib0011 – volume: 29 start-page: 2402 issue: 6 year: 2007 ident: 10.1016/j.parco.2019.02.004_bib0014 article-title: Optimized multiplicative, additive, and restricted additive Schwarz preconditioning publication-title: SIAM J. Sci. Comput. doi: 10.1137/060652610 – year: 2008 ident: 10.1016/j.parco.2019.02.004_bib0002 article-title: Microwave tomography for brain imaging: feasibility assessment for stroke detection publication-title: Int. J. Antennas Propag. doi: 10.1155/2008/254830 – volume: 47 start-page: 19 issue: 1 year: 2005 ident: 10.1016/j.parco.2019.02.004_bib0005 article-title: An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection publication-title: IEEE Antennas Propag. Mag. doi: 10.1109/MAP.2005.1436217 – volume: 28 start-page: 1651 issue: 5 year: 2006 ident: 10.1016/j.parco.2019.02.004_bib0021 article-title: Recycling Krylov subspaces for sequences of linear systems publication-title: SIAM J. Sci. Comput. doi: 10.1137/040607277 – start-page: 1 year: 2013 ident: 10.1016/j.parco.2019.02.004_bib0018 article-title: Scalable domain decomposition preconditioners for heterogeneous elliptic problems – volume: 20 start-page: 475 issue: 3 year: 2004 ident: 10.1016/j.parco.2019.02.004_bib0019 article-title: Solving unsymmetric sparse systems of linear equations with PARDISO publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2003.07.011 – volume: 12 start-page: 460 year: 2013 ident: 10.1016/j.parco.2019.02.004_bib0004 article-title: Novel preprocessing techniques for accurate microwave imaging of human brain publication-title: IEEE Antennas Wireless Propag. Lett. doi: 10.1109/LAWP.2013.2255095 – volume: 20 start-page: 251 issue: 3–4 year: 2012 ident: 10.1016/j.parco.2019.02.004_bib0016 article-title: New development in FreeFem++ publication-title: J. Numer. Math. – volume: 35 start-page: 315 issue: 3 year: 1980 ident: 10.1016/j.parco.2019.02.004_bib0010 article-title: Mixed finite elements in R3 publication-title: Numerische Mathematik doi: 10.1007/BF01396415 – start-page: 168 year: 1997 ident: 10.1016/j.parco.2019.02.004_bib0007 article-title: Gradient and Newton–Kantorovich methods for microwave tomography – volume: 45 start-page: 901 issue: 7 year: 1999 ident: 10.1016/j.parco.2019.02.004_bib0009 article-title: Multilevel solution of the time-harmonic Maxwell’s equations based on edge elements publication-title: Int. J. Numer. Methods Eng. doi: 10.1002/(SICI)1097-0207(19990710)45:7<901::AID-NME611>3.0.CO;2-4 |
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| Snippet | •Feasibility of a microwave tomographic imaging technique for brain strokes.•Scalable domain decomposition solver for Maxwell’s equations on thousands of... The motivation of this work is the detection of cerebrovascular accidents by microwave tomographic imaging. This requires the solution of an inverse problem... |
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| SubjectTerms | Electromagnetism Engineering Sciences Inverse problem Mathematics Maxwell's equations Microwave imaging Numerical Analysis Scalable preconditioners |
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| Title | Microwave tomographic imaging of cerebrovascular accidents by using high-performance computing |
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