Quantitative microwave imaging with a 2.45-GHz planar microwave camera

Franchois, Ann; Joisel, A.; Pichot, Ch.; Bolomey, Jean-Charles

doi:10.1109/42.730400

Cited by 100 publications

(39 citation statements)

References 34 publications

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“…Albeit some artifacts were present, the system performed well in reconstructing dielectric maps, using the Newton-Kantorovich algorithm. This camera enables NRI to be carried out in a mammographic configuration [77,78], one of the key benefits of the approach presented in this chapter. More recently, in 2013, imaging a moving target was also tested in an integrated microwave imaging radar, as in an inverse synthetic array radar, at the University of Padova in Italy [79].…”

Section: Breast Nri At Experimental Levelmentioning

confidence: 99%

Near-Field Radar Microwave Imaging as an Add-on Modality to Mammography

Ghanbarzadeh-Dagheyan¹,

Molaei²,

Obermeier³

et al. 2017

New Perspectives in Breast Imaging

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According to global statistics, there is a high incidence of cancer in western countries; and, due to the limited resources available in most health care systems, it seems like one of the most feasible options to fight against cancer might be strict prevention policiessuch as eliminating carcinogens in people's daily lives. Nevertheless, early cancer detection and effective treatment are still necessary, and understanding their efficacy and limitations are important issues that need to be addressed in order to ultimately enhance patients' survival rate. In the case of breast cancer, some of the problems faced by conventional mammography have been addressed in the literature; they include high rate of false-positive and false-negative results, as well as the possibility of overdiagnosis. New technologies, such as digital breast tomosynthesis (DBT), have been able to improve the sensitivity and specificity by using 3D imaging. However, the low contrast (1%) existing between tumors and healthy fibroglandular tissue at X-ray frequencies has been identified as one of the main causes of misdiagnosis in both conventional 2D mammography and DBT. Near-field radar imaging (NRI) provides a unique opportunity to overcome this problem, since the contrast existing between the aforementioned tissues is intrinsically higher (10%) at microwave frequencies. Moreover, the low resolution and highly complex scattering patterns of microwave systems can be enhanced by using prior information from other modalities, such as the DBT. Therefore, a multimodal DBT/NRI imaging system is proposed to exploit their individual strengths while minimizing their weaknesses. In this work, the foundation of this idea is reviewed, and a preliminary design and experimental validation of the NRI system, used as a DBT complement, is introduced.

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Section: Breast Nri At Experimental Levelmentioning

confidence: 99%

Near-Field Radar Microwave Imaging as an Add-on Modality to Mammography

Ghanbarzadeh-Dagheyan¹,

Molaei²,

Obermeier³

et al. 2017

New Perspectives in Breast Imaging

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“…The measured data was then calibrated such that the transmitted field by antennas can be approximated by a plane-wave and the effects of the antenna's radiation patterns are removed. To calibrate this data, the offset calibration method was used [28]. In this type of calibration, a single correction factor is used for all transmitter/receiver pairs.…”

Section: Experimental Data From Institut Frsenel's Mwt Systemmentioning

confidence: 99%

Experimental Results for Microwave Tomography Imaging Based on FDTD and Ga

Sabouni¹,

Noghanian²

2013

PIER M

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Abstract-The authors recently presented a novel microwave tomography method for creating quantitative images of the electromagnetic properties of the interior of unknown objects [1]. This method is based on a time-domain inverse solver which uses the multi-illumination technique and includes the dispersive and heterogeneous characteristic of the object. The Frequency Dependent Finite Difference Time Domain ((FD) 2 TD) and Genetic Algorithm (GA) technique were utilized for determining unknown characteristics of the object. In the present paper, the calibration of measured data are described and image reconstruction results for preliminary experiments performed at the University of Manitoba's Microwave Tomography Laboratory and at the Institut Frsenel are presented.

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“…A 2.45 GHz microwave camera was developed by Franchois [9] where they used method of moments combined with the distorted Born iterative methods for image reconstruction. In microwave imaging, the algorithm developed by Sourov [10], the direct solution for the scattering problem was obtained by fast forward iterative method and inverse solution by Newton iterative method.…”

Section: Review On Inverse Scattering In Microwave Imaging For Breastmentioning

confidence: 99%