Dielectric Studies of Corn Syrup for Applications in Microwave Breast Imaging

Bindu, G.; Lonappan, Anil; Thomas, Vinu; Aanandan, C. K.; Mathew, K. T.

doi:10.2528/pier05072801

Cited by 52 publications

(46 citation statements)

References 16 publications

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“…In consequence, the reflected pulses are distorted due to the change in medium velocity and its propagation in a dispersive medium. This problem can be mitigated by using a coupling medium [16] (for instance, fat) to avoid reflections in the skin and then pulses propagate in a homogeneous-like medium. However, the problem here is that the UWB antennas must be designed to operate immersed in this lossy coupling material.…”

Section: Introductionmentioning

confidence: 99%

Weighted Centroid Method for Breast Tumor Localization Using an Uwb Radar

Lázaro¹,

Girbau²,

Villarino³

2010

PIER B

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Abstract-This paper studies the potential of ultra-wideband (UWB) microwave imaging for detection and localization of breast cancer in its early stages. A method is proposed for locating tumors which is based on the time-of-flight of the signal backscattered at the tumor. Timeof-flight is detected using a wavelet transform algorithm. The main contribution of this paper is that it proposes to determine the position of the tumor by using an adapted version of the centroid localization method used in wireless sensor nodes. Its main advantage is that it does not require knowing a priori neither the propagation velocity of the breast nor its dielectric permittivity. The feasibility of the method has been investigated by means of simulated and experimental results with an ultra-wideband radar and a phantom.

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Section: Introductionmentioning

confidence: 99%

Weighted Centroid Method for Breast Tumor Localization Using an Uwb Radar

Lázaro¹,

Girbau²,

Villarino³

2010

PIER B

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“…The design and the analysis of the scattering observed in highcontrast objects are carried out by using the Finite-Difference TimeDomain (FDTD) method [19]. The response of 32 antennas uniformly distributed around a simulated breast is obtained.…”

Section: Microwave Imaging Algorithmmentioning

confidence: 99%

“…In most experiments for tumor detection, the breast and the antenna are immersed in a dielectric medium such as soybean oil (ε r = 2.6, σ = 0.05 S/m at 6 GHz) [9], canola oil [18] (ε r = 2.5, σ = 0.04 S/m at 6 GHz), corn syrup (ε r = 18.9-56.9, σ = 0.3-2.2 S/m) [19] or other liquids which have a dielectric constant similar to that of the skin [4,9]. Hence the antenna will be well matched.…”

Section: Introductionmentioning

confidence: 99%

Simulated and Experimental Investigation of Microwave Imaging Using Uwb

Lázaro¹,

Girbau²,

Villarino³

2009

PIER

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Abstract-Microwave breast tumour detection is a non-invasive technique that uses non ionizing radiation. Microwave imaging has the potential to achieve early detection of breast cancer due to the high specificity and the large difference in electrical properties of the malignant tissue when compared to normal breast tissue. This paper studies the feasibility of using UWB signals for breast imaging. Simulated results using Finite-Difference Time-Domain (FDTD) Method will be presented. A sensibility study of the variations in the breast relative dielectric permittivity and of the variations of the skin-surface contour is also provided. A working prototype for microwave imaging is developed using a conventional Vector Network Analyzer (VNA) with the time processing capability.

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“…Most of the inversion techniques are investigated for the inverse problem using only single frequency scattering data (monochromatic source) [3][4][5]. However, the time domain scattering data is important for the inverse problem because the available information content about scatterer is more than the only single frequency scattering data.…”

Section: Introductionmentioning

confidence: 99%

“…In the past twenty years, the inversion techniques are developed intensively for the microwave imaging both in frequency domain and time domain [3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Most of the inversion techniques are investigated for the inverse problem using only single frequency scattering data (monochromatic source) [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Time-Domain Inverse Scattering of a Two-Dimensional Metallic Cylinder in Slab Medium Using Asynchronous Particle Swarm Optimization

Sun¹,

Chiu

Li³

2010

PIER M

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Abstract-This paper presents asynchronous particle swarm optimization (APSO) applied to the time-domain inverse scattering problems of two-dimensional metallic cylinder buried in slab medium. For this study the finite-difference time-domain (FDTD) is employed for the analysis of the forward scattering part, while for the APSO is applied for the reconstruction of the two-dimensional metallic cylinder buried in slab medium, which includes of the location and shape the metallic cylinder. For the forward scattering, conceptually several electromagnetic pulses are launched to illuminate the unknown scatterers, and then the scattered electromagnetic fields around are measured. In order to efficiently describe the details of the cylinder shape, subgridding technique is implemented in the finite difference time domain method. Then, the simulated EM fields are used for inverse scattering, in which APSO is employed to transform the inverse scattering problem into optimization problem. By comparing the simulated scattered fields and the calculated scattered fields, the shape and location of the metallic cylinder are reconstructed. In addition, the effects of Gaussian noises on imaging reconstruction are also investigated.

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Dielectric Studies of Corn Syrup for Applications in Microwave Breast Imaging

Cited by 52 publications

References 16 publications

Weighted Centroid Method for Breast Tumor Localization Using an Uwb Radar

Weighted Centroid Method for Breast Tumor Localization Using an Uwb Radar

Simulated and Experimental Investigation of Microwave Imaging Using Uwb

Time-Domain Inverse Scattering of a Two-Dimensional Metallic Cylinder in Slab Medium Using Asynchronous Particle Swarm Optimization

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