Microwave tomographic imaging of cerebrovascular accidents by using high-performance computing

P.-H. Tournier, I. Aliferis, M. Bonazzoli, M. de Buhan, M. Darbas, V. Dolean, F. Hecht, P. Jolivet, I. El Kanfoud, C. Migliaccio, F. Nataf, Ch. Pichot, S. Semenov

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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.

LanguageEnglish
Pages88-97
Number of pages10
JournalParallel Computing
Volume85
Early online date25 Feb 2019
DOIs
Publication statusPublished - 31 Jul 2019

Fingerprint

Accidents
Microwave
High Performance
Microwaves
Imaging
Imaging techniques
Domain decomposition methods
Parallel architectures
Computing
Parallel Architectures
Domain Decomposition Method
Maxwell equations
Reconstruction Algorithm
Inverse problems
Maxwell's equations
Parallel algorithms
Material Properties
Parallel Algorithms
Materials properties
Inverse Problem

Keywords

  • inverse problem
  • Maxwell's equations
  • microwave imaging
  • scalable preconditioners

Cite this

Tournier, P.-H. ; Aliferis, I. ; Bonazzoli, M. ; Buhan, M. de ; Darbas, M. ; Dolean, V. ; Hecht, F. ; Jolivet, P. ; El Kanfoud, I. ; Migliaccio, C. ; Nataf, F. ; Pichot, Ch. ; Semenov, S. / Microwave tomographic imaging of cerebrovascular accidents by using high-performance computing. In: Parallel Computing. 2019 ; Vol. 85. pp. 88-97.
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Tournier, P-H, Aliferis, I, Bonazzoli, M, Buhan, MD, Darbas, M, Dolean, V, Hecht, F, Jolivet, P, El Kanfoud, I, Migliaccio, C, Nataf, F, Pichot, C & Semenov, S 2019, 'Microwave tomographic imaging of cerebrovascular accidents by using high-performance computing' Parallel Computing, vol. 85, pp. 88-97. https://doi.org/10.1016/j.parco.2019.02.004

Microwave tomographic imaging of cerebrovascular accidents by using high-performance computing. / Tournier, P.-H.; Aliferis, I.; Bonazzoli, M.; Buhan, M. de; Darbas, M.; Dolean, V.; Hecht, F.; Jolivet, P.; El Kanfoud, I.; Migliaccio, C.; Nataf, F.; Pichot, Ch.; Semenov, S.

In: Parallel Computing, Vol. 85, 31.07.2019, p. 88-97.

Research output: Contribution to journalArticle

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