Real-Time Quantitative Reconstruction Methods in Microwave Imaging

2017 ◽  
pp. 415-442 ◽  
Author(s):  
Denys S. Shumakov ◽  
Daniel Tajik ◽  
Alexander S. Beaverstone ◽  
Natalia K. Nikolova
Keyword(s):  
Real Time ◽  
Microwave Imaging ◽  
Quantitative Reconstruction ◽  
Reconstruction Methods

Real-time Microwave Imaging of Breast Phantoms with Constrained Deconvolution of Planar Data

2018 ◽  
Author(s):  
D. Tajik ◽  
F. Foroutan ◽  
D. S. Shumakov ◽  
A. D. Pitcher ◽  
E. A. Eveleigh ◽  
...  
Keyword(s):  
Real Time ◽  
Microwave Imaging ◽  
Breast Phantoms

scholarly journals TDOA-based microwave imaging algorithm for real-time microwave ablation monitoring

2017 ◽  
Vol 10 (2) ◽  
pp. 169-178 ◽  
Author(s):  
Shouhei Kidera ◽  
Luz Maria Neira ◽  
Barry D. Van Veen ◽  
Susan C. Hagness
Keyword(s):  
Real Time ◽  
Microwave Ablation ◽  
Microwave Imaging ◽  
Ablation Zone ◽  
Real Time Monitoring ◽  
Imaging Algorithm ◽  
Array Measurements ◽  
Time Operation ◽  
Real Time Operation ◽  
Propagation Media

Microwave ablation is widely recognized as a promising minimally invasive tool for treating cancer. Real-time monitoring of the dimensions of the ablation zone is indispensable for ensuring an effective and safe treatment. In this paper, we propose a microwave imaging algorithm for monitoring the evolution of the ablation zone. Our proposed algorithm determines the boundary of the ablation zone by exploiting the time difference of arrival (TDOA) between signals received before and during the ablation at external antennas surrounding the tissue, using the interstitial ablation antenna as the transmitter. A significant advantage of this method is that it requires few assumptions about the dielectric properties of the propagation media. Also the simplicity of the signal processing, wherein the TDOA is determined from a cross-correlation calculation, allows real-time monitoring and provides robust performance in the presence of noise. We investigate the performance of this approach for the application of breast tumor ablation. We use simulated array measurements obtained from finite-difference time-domain simulations of magnetic resonance imaging-derived numerical breast phantoms. The results demonstrate that our proposed method offers the potential to achieve millimeter-order accuracy and real-time operation in estimating the boundary of the ablation zone in heterogeneous and dispersive breast tissue.

scholarly journals A Tomograph Prototype for Quantitative Microwave Imaging: Preliminary Experimental Results

2018 ◽  
Vol 4 (12) ◽  
pp. 139 ◽  
Author(s):  
Alessandro Fedeli ◽  
Manuela Maffongelli ◽  
Ricardo Monleone ◽  
Claudio Pagnamenta ◽  
Matteo Pastorino ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Microwave Imaging ◽  
Experimental Results ◽  
Network Analyzer ◽  
Reconstruction Algorithms ◽  
Quantitative Reconstruction ◽  
Qualitative And Quantitative ◽  
Switching Matrix ◽  
3D Printed ◽  
Transmission Measurements

A new prototype of a tomographic system for microwave imaging is presented in this paper. The target being tested is surrounded by an ad-hoc 3D-printed structure, which supports sixteen custom antenna elements. The transmission measurements between each pair of antennas are acquired through a vector network analyzer connected to a modular switching matrix. The collected data are inverted by a hybrid nonlinear procedure combining qualitative and quantitative reconstruction algorithms. Preliminary experimental results, showing the capabilities of the developed system, are reported.

scholarly journals Real-time Microwave Imaging of Differential Temperature for Thermal Therapy Monitoring

2014 ◽  
Vol 61 (6) ◽  
pp. 1787-1797 ◽  
Author(s):  
Mark Haynes ◽  
John Stang ◽  
Mahta Moghaddam
Keyword(s):  
Real Time ◽  
Therapy Monitoring ◽  
Microwave Imaging ◽  
Thermal Therapy

Two Reconstruction Methods for Microwave Imaging of Buried Dielectric Anomalies

1975 ◽  
Vol C-24 (4) ◽  
pp. 381-390 ◽  
Author(s):  
On-Ching Yue ◽  
E.L. Rope ◽  
G. Tricoles
Keyword(s):  
Microwave Imaging ◽  
Reconstruction Methods

Real-time quantitative reconstruction based on microwave holography

2016 ◽  
Author(s):  
Daniel Tajik ◽  
Jeffrey R. Thompson ◽  
Alexander S. Beaverstone ◽  
Natalia K. Nikolova
Keyword(s):  
Real Time ◽  
Quantitative Reconstruction

scholarly journals A Simple Quantitative Inversion Approach for Microwave Imaging in Embedded Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-18 ◽  
Author(s):  
M. Ambrosanio ◽  
R. Scapaticci ◽  
L. Crocco
Keyword(s):  
Real Time ◽  
Quantitative Imaging ◽  
Impedance Matching ◽  
Field Approximation ◽  
Microwave Imaging ◽  
Point Of View ◽  
Inversion Method ◽  
Linear Inversion ◽  
Imaging Results ◽  
Different Shapes

In many applications of microwave imaging, there is the need of confining the device in order to shield it from environmental noise as well as to host the targets and the medium used for impedance matching purposes. For instance, in MWI for biomedical diagnostics a coupling medium is typically adopted to improve the penetration of the probing wave into the tissues. From the point of view of quantitative imaging procedures, that is aimed at retrieving the values of the complex permittivity in the domain under test, the presence of a confining structure entails an increase of complexity of the underlying modelling. This entails a further difficulty in achieving real-time imaging results, which are obviously of interest in practice. To address this challenge, we propose the application of a recently proposed inversion method that, making use of a suitable preprocessing of the data and a scenario-oriented field approximation, allows obtaining quantitative imaging results by means of quasi-real-time linear inversion, in a range of cases which is much broader than usual linearized approximations. The assessment of the method is carried out in the scalar 2D configuration and taking into account enclosures of different shapes and, to show the method’s flexibility different shapes, embedding nonweak targets.

Real time physics-based solar wind forecasts for SafeSpace

2020 ◽  
Author(s):  
Rui Pinto ◽  
Rungployphan Kieokaew ◽  
Benoît Lavraud ◽  
Vincent Génot ◽  
Myriam Bouchemit ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Solar Wind ◽  
Real Time ◽  
Interplanetary Space ◽  
Coronal Magnetic Field ◽  
Physical Parameters ◽  
The Sun ◽  
Web Based ◽  
Reconstruction Methods ◽  
Magnetic Field Computation

<p>We present the solar wind forecast module to be implemented on the Sun – interplanetary space – Earth’s magnetosphere chain of the H2020 SafeSpace project. The wind modelling pipeline, developed at the IRAP, performs real-time robust simulations (forward modelling) of the physical processes that determine the state of the solar wind from the surface of the Sun up to the L1 point. The pipeline puts together different mature research models: determination of the background coronal magnetic field, computation of many individual solar wind acceleration profiles (1 to 90 solar radii), propagation across the heliosphere and formation of CIRs (up to 1 AU or more), estimation of synthetic diagnostics (white-light and EUV imaging, in-situ time-series) and comparison to observations and spacecraft measurements. Different magnotograms sources (WSO, SOLIS, GONG, ADAPT) can be combined, as well as coronal field reconstruction methods (PFSS, NLFFF), wind models (MULTI-VP), and heliospheric propagation models (CDPP/AMDA 1D MHD, ENLIL, EUHFORIA). We provide a web-based service that continuously supplies a full set of bulk physical parameters (wind speed, density, temperature, magnetic field, phase speeds) of the solar wind up to 6-7 days in advance, at a time cadence compatible with space weather applications.</p>

scholarly journals A real-time microwave imaging of unknown anomaly with and without diagonal elements of scattering matrix

2020 ◽  
Vol 17 ◽  
pp. 103104 ◽  
Author(s):  
Kwang-Jae Lee ◽  
Seong-Ho Son ◽  
Won-Kwang Park
Keyword(s):  
Real Time ◽  
Scattering Matrix ◽  
Microwave Imaging
Sign in / Sign up

Export Citation Format

Share Document