Conferences related to Microwave Imaging

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2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


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Periodicals related to Microwave Imaging

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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Most published Xplore authors for Microwave Imaging

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Xplore Articles related to Microwave Imaging

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IEE Colloquium on Radar and Microwave Imaging (Digest No.1994/219)

IEE Colloquium on Radar and Microwave Imaging, 1994

None


An evaluation method for sparse microwave imaging radar system using phase diagrams

Proceedings of 2011 IEEE CIE International Conference on Radar, 2011

We propose a method based on the phase diagram tool to evaluate the sparse microwave imaging radar system. In the method, success rates of signal recovery are derived from the statistics of relative errors between the targets and the recovered signals. Success rates for each combination of SNR, sparsity and sampling ratio are provided to form a three-dimensional phase diagram. ...


Implementation of GPU-based Iterative Shrinkage-thresholding Algorithm in sparse microwave imaging

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

In this paper, we present the implementation of Iterative Shrinkage- thresholding Algorithm (ISTA) based on Graphic processing unit (GPU) parallel computation for sparse microwave imaging. First we introduce the theory of sparse microwave imaging and the mathematical model of Lq-norm regularization. Then taking the fast speed advantage of GPU on large-scale computation, we implement the ISTA with parallel computation via ...


Microwave imaging for tumour detection

IEE Colloquium on Radar and Microwave Imaging, 1994

A dielectric measurement system can be used to characterise some tumours but the problems of resolution and attenuation have not been solved. There is no way that these techniques will give resolution even approaching that of X-rays, but may have some value in locating centres of tumour activity and acting as a guide to biopsy techniques. Like X-rays the problem ...


Application of optimized sparse antenna array in near range 3D microwave imaging

2012 International Symposium on Antennas and Propagation (ISAP), 2012

Near range three-dimensional (3D) microwave imaging techniques have broad application prospects in the field of concealed weapon detection, biomedical imaging, nondestructive testing, etc[1]. In this paper, the technique of optimized sparse antenna array is applied to near range 3D microwave imaging, which can greatly reduce the complexity of imaging systems.


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Educational Resources on Microwave Imaging

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IEEE.tv Videos

IMS 2015: Chris Walker - John Tucker Special Tribute - SuperCam: A 64 Pixel SIS Receiver Array for Submillimeter-wave Astronomy
ASC-2014 SQUIDs 50th Anniversary: 2 of 6 - John Clarke - The Ubiquitous SQUID
IMS 2011 Microapps - Improved Microwave Device Characterization and Qualification Using Affordable Microwave Microprobing Techniques for High-Yield Production of Microwave Components
Testing 5G: OTA and the Connectorless World - IMS 2017
The Josephson Effect: SQUIDs Then and Now: From SLUGS to Axions
Wiro Niessen - COVID-19, Deep Learning and Biomedical Imaging Panel
2011 IEEE Medal for Innovations in Healthcare Technology - Harrison H. Barrett
HARI SRIKANTH - IEEE Magnetics Distinguished Lecture
Panel Discussion - COVID-19, Deep Learning and Biomedical Imaging Panel
Smarter Smartphone Imaging - Erik Douglas - IEEE EMBS at NIH, 2019
Mads Nielsen - COVID-19, Deep Learning and Biomedical Imaging Panel
IMS 2012 Microapps - Panel Session: Device Characterization Methods and Advanced RF/ Microwave Design
IMS 2012 Microapps - Bonding Materials used in Multilayer Microwave PCB Applications
Hayit Greenspan - COVID-19, Deep Learning and Biomedical Imaging Panel
IMS 2011 Microapps - Techniques for Validating a Vector Network Analyzer Calibration When Using Microwave Probes
IMS 2012 Special Sessions: A Retrospective of Field Theory in Microwave Engineering - Magdalena Salazar Palma
IMS Organizer: Richard Snyder, President Elect for MTT-S
IMS 2010 - International Microwave Symposium
MicroApps: How Digital Markets are Driving Microwave Technology (Agilent Technologies)
Bram van Ginnekin - COVID-19, Deep Learning and Biomedical Imaging Panel

IEEE-USA E-Books

  • IEE Colloquium on Radar and Microwave Imaging (Digest No.1994/219)

    None

  • An evaluation method for sparse microwave imaging radar system using phase diagrams

    We propose a method based on the phase diagram tool to evaluate the sparse microwave imaging radar system. In the method, success rates of signal recovery are derived from the statistics of relative errors between the targets and the recovered signals. Success rates for each combination of SNR, sparsity and sampling ratio are provided to form a three-dimensional phase diagram. We demonstrate that the trend of success rates is presented accurately by taking advantage of phase transition boundary. These ideas are efficient strategy to analysis and design the sparse microwave imaging radar system.

  • Implementation of GPU-based Iterative Shrinkage-thresholding Algorithm in sparse microwave imaging

    In this paper, we present the implementation of Iterative Shrinkage- thresholding Algorithm (ISTA) based on Graphic processing unit (GPU) parallel computation for sparse microwave imaging. First we introduce the theory of sparse microwave imaging and the mathematical model of Lq-norm regularization. Then taking the fast speed advantage of GPU on large-scale computation, we implement the ISTA with parallel computation via CUDA and apply it into sparse microwave imaging. The experiment simulations show that GPU has the same ability in signal reconstruction as CPU, which has less execution time and higher efficiency.

  • Microwave imaging for tumour detection

    A dielectric measurement system can be used to characterise some tumours but the problems of resolution and attenuation have not been solved. There is no way that these techniques will give resolution even approaching that of X-rays, but may have some value in locating centres of tumour activity and acting as a guide to biopsy techniques. Like X-rays the problem of finding tumours in the dense breast tissue of younger women cannot be solved even by this harmless and freely useable modality. Given therefore that there is a need for additional screening methods, that there are differences between tumour and healthy tissue to detect, and that microwaves in very low powers are completely harmless, a study of RF and microwave imaging has been carried out.<<ETX>>

  • Application of optimized sparse antenna array in near range 3D microwave imaging

    Near range three-dimensional (3D) microwave imaging techniques have broad application prospects in the field of concealed weapon detection, biomedical imaging, nondestructive testing, etc[1]. In this paper, the technique of optimized sparse antenna array is applied to near range 3D microwave imaging, which can greatly reduce the complexity of imaging systems.

  • Portable Biomedical Microwave Imaging Using Software- Defined Radio

    The design for a portable, inexpensive biomedical microwave imaging device is presented, which uses a Software-Defined Radio (SDR) and a solid-state switching network. To demonstrate the capability of the device, two targets with differing permittivities were simultaneously imaged, and the resulting images were specific enough for the targets to be localised. Minimal time was spent capturing and processing the data, producing images of a body under test in 26 seconds. The total cost of the constructed device was less than $1500 USD and weighed only 4.4 kg, making it a highly accessible device for potential early disease detection.

  • Microwave imaging for breast cancer detection: Experimental comparison of Confocal and Holography algorithms

    Confocal and Holography algorithms are two different types of active microwave imaging radar-based techniques and are commonly applied to UWB systems for their good performance. In this paper, we present a comparison of both algorithms by using an experimental breast phantom to show the results. The breast phantom consists of a semispherical recipient of glass to represent the skin layer and three homogeneous spheres that simulate the tumors, which are a mixture of flour and water. Two different measurement systems are required and implemented for the different microwave imaging algorithms. The results consist of 2D reconstructed images, which demonstrate a viability of both algorithms for detection of tumor from 15 mm diameter, although some refinement is needed to have more accuracy in the tumor position. However, the concern for confocal technique is the contrast of the image, while holographic is the location of the real tumor phantom without imaginary targets on a wide reconstruction area.

  • Wavelet de-noising based microwave imaging for brain cancer detection

    In microwave imaging for brain cancer detection, signals are generally degraded by noise. In this paper, we investigate the use of Discrete Wavelet Transform (DWT) based signal processing to improve the noise performance of an UWB based microwave imaging system for brain cancer detection. To test the noise suppression properties of the DWT, firstly, Gaussian white noise is added to the received pulse in a simulated microwave imaging system, such that the signal-to-noise ratios (SNRs) are 60dB and 45dB, respectively. These noisy signals are then processed and de-noised using the DWT. The de-noised signals are used to create cross-sectional images of a cancerous brain model, with the tumour highlighted. These resulting images demonstrate the validity of a DWT based de-noising method for brain cancer detection.

  • Study on sparse microwave imaging

    Sparse signal processing is introduced to microwave imaging technology, which forms a new theory, new system and new methodology in microwave imaging. Defined as sparse microwave imaging, it means that by the sparse domain representation of the observed object, the sparse microwave signal is acquired by sparse sampling in space or time domain. After the signal processing and information extraction, the geometrical and physical characteristics of the observed object can be acquired with lower data rate and less hardware complexity of the imaging radar.

  • Printed Aperiodic Cavity for Computational and Microwave Imaging

    We demonstrate a frequency-diverse aperture for microwave imaging based on a planar cavity at K-band frequencies (18-26.5 GHz). The structure consists of an array of radiating circular irises patterned into the front surface of a double-sided printed circuit board. The irises are distributed in a Fibonacci pattern to maximize spatial diversity at the scene. The printed cavity is a phase-diverse system and encodes imaged scene information onto a set of frequencies that span the K-band. Similar to recently reported metamaterial apertures, the printed cavity imager does not require any mechanically moving parts or complex phase shifting networks. Imaging of a number of targets is shown; these reconstructed images demonstrate the ability of the system to perform imaging at the diffraction limit. The proposed printed cavity imager possesses a relatively large quality factor that can be traded off to achieve higher radiation efficiency. The general mode characteristics of the printed cavity suggest advantages when used in computational imaging scenarios.



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