Real-Time Three-Dimensional Microwave Monitoring of Interstitial Thermal Therapy

Chen, Guanbo; Stang, John; Haynes, Mark; Leuthardt, Eric C.; Moghaddam, Mahta

doi:10.1109/tbme.2017.2702182

Cited by 60 publications

(33 citation statements)

References 37 publications

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“…Lin et al [9] have used a 3D conformal finite-difference time-domain particle-in-cell simulation to study the possibility of dynamic after cavity interaction (ACI) in a downscaled gyrotron model. Chen et al [10] have reported a method for real-time 3D monitoring of thermal therapy through the use of noncontact microwave imaging. Zhang et al [11] have found that the finite element method (FEM) simulation and measurement of the designed tags show strong resonances in the GPR spectrum.…”

Section: Introductionmentioning

confidence: 99%

The Conformal Finite-Difference Time-Domain Simulation of GPR Wave Propagation in Complex Geoelectric Structures

et al. 2020

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The finite-difference time-domain (FDTD) method adopts the most popular numerical model simulating ground penetrating radar (GPR) wave propagation in an underground structure. However, a staircase approximation method is usually adopted to simulate the curved boundary of an irregular object in the FDTD and symplectic partitioned Runge-Kutta (SPRK) methods. The approximate processing of rectangular mesh parameters will result in calculation errors and virtual surface waves for irregular targets of an underground structure. In this paper, we examine transverse mode (TM) electromagnetic waves with numerical models of electromagnetic wave propagation in geoelectric structures with conformal finite-difference time-domain (CFDTD) method technology in which the effective dielectric parameters are used to accurately simulate the dielectric surface and to absorb waves at the edges of the grid. The third orders of the transmission boundary are used in this paper. Additionally, three complex geocentric models of inclined layered media, spherical media, and three-layered pavement model with structural damages are set up for simulation calculations, then we carry out the actual radar wave detection in a laboratory as the fourth numerical example. Comparison of simulated reflectance waveform of FDTD, symplectic partitioned Runge-Kutta (SPRK), and CFDTD methods shows that at least 50% of the virtual waves can be reduced by using the proposed algorithm. Wiggle diagrams of FDTD and CFDTD methods show that much of the virtual waves have been reduced, and the radar image is clearer than before. This provides a method for the detection of complex geoelectric and layered structures in actual engineering.

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Section: Introductionmentioning

confidence: 99%

The Conformal Finite-Difference Time-Domain Simulation of GPR Wave Propagation in Complex Geoelectric Structures

et al. 2020

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“…Such as system can also ablate an epileptogenic zone, as proposed by Curry et al 93,94 Meanwhile, MacDonell et al have proposed a high-intensity focused ultrasound (HIFU) probe in conjunction with a robotic thermal ablation approach. 7 Real-time GPUaccelerated thermal monitoring for thermal ablation therapy of brain tumors has been proposed by Chen, 95 whihc is founded on an efficient computational algorithm, termed the nonlinear distorted Born iterative method (DIBM), for solving the electric volume integral equation.…”

Section: Needle-based Thermal Ablationmentioning

confidence: 99%

<p>Robotically Steered Needles: A Survey of Neurosurgical Applications and Technical Innovations</p>

Audette¹,

Bordas²,

Blatt³

2020

RSRR

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This paper surveys both the clinical applications and main technical innovations related to steered needles, with an emphasis on neurosurgery. Technical innovations generally center on curvilinear robots that can adopt a complex path that circumvents critical structures and eloquent brain tissue. These advances include several needle-steering approaches, which consist of tip-based, lengthwise, base motion-driven, and tissue-centered steering strategies. This paper also describes foundational mathematical models for steering, where potential fields, nonholonomic bicycle-like models, spring models, and stochastic approaches are cited. In addition, practical path planning systems are also addressed, where we cite uncertainty modeling in path planning, intraoperative soft tissue shift estimation through imaging scans acquired during the procedure, and simulation-based prediction. Neurosurgical scenarios tend to emphasize straight needles so far, and span deep-brain stimulation (DBS), stereoelectroencephalography (SEEG), intracerebral drug delivery (IDD), stereotactic brain biopsy (SBB), stereotactic needle aspiration for hematoma, cysts and abscesses, and brachytherapy as well as thermal ablation of brain tumors and seizure-generating regions. We emphasize therapeutic considerations and complications that have been documented in conjunction with these applications.

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“…Electromagnetic inverse scattering imaging technique hascontactless and non-destructive characteristics when measuring geometric shapes and permittivities of unknown objects. Therefore, it plays an important role in the fields of biomedical imaging, microwave imaging, remote sensing, non-destructive evaluation,security checks, and so on [1][2][3][4][5]. Specifically, scattered field data and other prior information tested outside the domain of interest (DoI) are used to reconstruct unknown objects in the DoI.…”

Section: Introductionmentioning

confidence: 99%

Alternating direction method of multiplier for solving electromagnetic inverse scattering problems

Liu

Zhou

Chen

et al. 2020

Int. J. Microw. Wireless Technol.

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In this paper, a novel alternating direction method of multiplier (ADMM) is proposed to solve the inverse scattering problems. The proposed method is suitable for a wide range of applications with electromagnetic detection. In order to solve the internal ill-posed problem of the integral equation and make the reconstructed images more closer to the ground truth, first, the augmented Lagrangian method is introduced to transform the complex constrained optimization problem into the extremum problem of unconstrained cost function. Therefore, two artificial regularization factors of the cost function are optimized. Then, this proposed method decomposes the unconstrained global problem in the inversion process into three linear sub-problem forms of contrast source function, contrast function, and dual variables. And the form of the updated algebra for each sub-problem is not complicated. By cross-iterating and updating contrast source function, contrast function, and dual variables, the global minimization of the cost function can be accurately found. Finally, the proposed method is compared with the existing well-known iterative method for solving the inverse scattering problem. Both the numerical and experimental tests verify the validity and accuracy of the proposed ADMM.

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Real-Time Three-Dimensional Microwave Monitoring of Interstitial Thermal Therapy

Cited by 60 publications

References 37 publications

The Conformal Finite-Difference Time-Domain Simulation of GPR Wave Propagation in Complex Geoelectric Structures

The Conformal Finite-Difference Time-Domain Simulation of GPR Wave Propagation in Complex Geoelectric Structures

<p>Robotically Steered Needles: A Survey of Neurosurgical Applications and Technical Innovations</p>

Alternating direction method of multiplier for solving electromagnetic inverse scattering problems

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