2019
DOI: 10.1016/j.parco.2019.02.004
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Microwave tomographic imaging of cerebrovascular accidents by using high-performance computing

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 han… Show more

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Cited by 34 publications
(33 citation statements)
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“…As an example of a practical problem with ξ prob > 0, we consider the modeling of a microwave imaging system, for the detection and monitoring of brain strokes. The prototype in Figure 1 was developed by the company EMTensor GmbH and studied in the framework of the ANR project MEDIMAX [76]. In the full application, the data acquired with this device are used as input for an inverse problem associated with the time-harmonic Maxwell's equations (1.1), which makes it possible to estimate the complex electric permittivity ε σ := ε + i σ/ω of the brain tissues of a patient affected by a stroke (observe that, with this definition, the coefficient µ(εω 2 + iσω) in (1.1) can be rewritten as ω 2 µε σ ).…”
Section: 4mentioning
confidence: 99%
“…As an example of a practical problem with ξ prob > 0, we consider the modeling of a microwave imaging system, for the detection and monitoring of brain strokes. The prototype in Figure 1 was developed by the company EMTensor GmbH and studied in the framework of the ANR project MEDIMAX [76]. In the full application, the data acquired with this device are used as input for an inverse problem associated with the time-harmonic Maxwell's equations (1.1), which makes it possible to estimate the complex electric permittivity ε σ := ε + i σ/ω of the brain tissues of a patient affected by a stroke (observe that, with this definition, the coefficient µ(εω 2 + iσω) in (1.1) can be rewritten as ω 2 µε σ ).…”
Section: 4mentioning
confidence: 99%
“…The algebraic formulation of optimized Schwarz methods, of the type of (12), was introduced in [31]. The implementation of the partition of unity in FreeFem++ is described in [32]: suitable piecewise linear functions χ s giving a continuous partition of unity ( N sub s=1 χ s = 1) are interpolated at the barycenters of the support (edge, face, volume) of each dof of the (high order) edge finite elements. This interpolation is obtained thanks to an auxiliary FreeFem++ scalar FE space (Edge03ds0, Edge13ds0, Edge23ds0) that has only the interpolation operator and no basis functions, available in the plugin Element Mixte3d mentioned before.…”
Section: Interpolation Operator For D = 3 R =mentioning
confidence: 99%
“…This work has been motivated by biomedical applications, and in particular by the microwave imaging of cerebrovascular accidents [32,33]. Strokes are characterized by dielectric properties which are slightly altered (±10%) from that of a healthy brain.…”
Section: Concluding Remarks and Prospectsmentioning
confidence: 99%
“…in medical imaging, geophysical exploration or nondestructive testing. For instance, microwave imaging (electromagnetic high frequencies) is under investigation for cancer screening or brain stroke detection (see Tournier et al [32,33]). Numerical methods that are able to highlight dielectric contrast between normal and possibly abnormal tissue are of interest.…”
Section: Introductionmentioning
confidence: 99%
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