scholarly journals A BCS microwave imaging algorithm for object detection and shape reconstruction tested with experimental data

2021 ◽  
Vol 57 (2) ◽  
pp. 88-91
Author(s):  
Nicolás Zilberstein ◽  
Juan Augusto Maya ◽  
Andrés Altieri
Keyword(s):  
Experimental Data ◽  
Object Detection ◽  
Shape Reconstruction ◽  
Microwave Imaging ◽  
Imaging Algorithm

Active Microwave Imaging II: 3-D System Prototype and Image Reconstruction From Experimental Data

2008 ◽  
Vol 56 (4) ◽  
pp. 991-1000 ◽  
Author(s):  
Chun Yu ◽  
Mengqing Yuan ◽  
J. Stang ◽  
E. Bresslour ◽  
R.T. George ◽  
...  
Keyword(s):  
Experimental Data ◽  
Image Reconstruction ◽  
Microwave Imaging ◽  
System Prototype

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 Multiplicative Regularizer Augmented with Spatial Priors for Microwave Imaging

2020 ◽  
Author(s):  
Nozhan Bayat ◽  
Puyan Mojabi
Keyword(s):  
Experimental Data ◽  
Total Variation ◽  
Prior Information ◽  
Microwave Imaging ◽  
Minimal Change ◽  
Data Sets ◽  
Quantitative Accuracy ◽  
L2 Norm ◽  
Imaging Algorithms ◽  
Multiplicative Regularization

The standard weighted L2 norm total variation multiplicative regularization (MR) term originally developed for microwave imaging algorithms is modified to take into account<br>structural prior information, also known as spatial priors (SP), about the object being imaged. This modification adds one extra term to the integrand of the standard MR, thus, being referred to as an augmented MR (AMR). The main advantage of the proposed approach is that it requires a minimal change to the existing microwave imaging algorithms that are already equipped with the MR. Using two experimental data sets, it is shown that the proposed AMR (i) can handle partial SP, and (ii) can, to some extent, enhance the quantitative accuracy achievable from<br>microwave imaging.

scholarly journals EBG Based Microstrip Patch Antenna for Brain Tumor Detection via Scattering Parameters in Microwave Imaging System

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Reefat Inum ◽  
Md. Masud Rana ◽  
Kamrun Nahar Shushama ◽  
Md. Anwarul Quader
Keyword(s):  
Human Brain ◽  
Patch Antenna ◽  
Imaging System ◽  
Ground Plane ◽  
Human Head ◽  
Microstrip Patch Antenna ◽  
Microwave Imaging ◽  
Head Model ◽  
Imaging Algorithm ◽  
Microstrip Patch

A microwave brain imaging system model is envisaged to detect and visualize tumor inside the human brain. A compact and efficient microstrip patch antenna is used in the imaging technique to transmit equivalent signal and receive backscattering signal from the stratified human head model. Electromagnetic band gap (EBG) structure is incorporated on the antenna ground plane to enhance the performance. Rectangular and circular EBG structures are proposed to investigate the antenna performance. Incorporation of circular EBG on the antenna ground plane provides an improvement of 22.77% in return loss, 5.84% in impedance bandwidth, and 16.53% in antenna gain with respect to the patch antenna with rectangular EBG. The simulation results obtained from CST are compared to those obtained from HFSS to validate the design. Specific absorption rate (SAR) of the modeled head tissue for the proposed antenna is determined. Different SAR values are compared with the established standard SAR limit to provide a safety regulation of the imaging system. A monostatic radar-based confocal microwave imaging algorithm is applied to generate the image of tumor inside a six-layer human head phantom model. S-parameter signals obtained from circular EBG loaded patch antenna in different scanning modes are utilized in the imaging algorithm to effectively produce a high-resolution image which reliably indicates the presence of tumor inside human brain.

"Blind" shape reconstruction from experimental data

1995 ◽  
Vol 43 (12) ◽  
pp. 1389-1396 ◽  
Author(s):  
P.M. van den Berg ◽  
M.G. Cote ◽  
R.E. Kleinman
Keyword(s):  
Experimental Data ◽  
Shape Reconstruction

Shape reconstruction of perfectly conducting objects by multiview experimental data

2005 ◽  
Vol 43 (1) ◽  
pp. 65-71 ◽  
Author(s):  
F. Soldovieri ◽  
A. Brancaccio ◽  
G. Leone ◽  
R. Pierri
Keyword(s):  
Experimental Data ◽  
Shape Reconstruction
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