Numerical Modelling for Ultra Wideband Radar Breast Cancer Detection and Classification

ConceiÃ§Ã£o, Raquel Cruz; O’Halloran, Martin; Glavin, Martin; Jones, Edward

doi:10.2528/pierb11072705

Cited by 20 publications

(8 citation statements)

References 47 publications

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“…The breast is mainly composed of three types of tissues which are adipose, glandular, and connective tissue [26]. Recent studies on the dielectric properties of the breast suggest that the dielectric properties of normal breast tissue may vary depending on several factors [3], such as the tissue structure and amount of adipose.…”

Section: Homogeneous and Heterogeneous Phantomsmentioning

confidence: 99%

Radar Sensing Featuring Biconical Antenna and Enhanced Delay and Sum Algorithm for Early Stage Breast Cancer Detection

Tiang¹,

Sadoon²,

Zanoon³

et al. 2013

PIER B

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Abstract-A biconical antenna has been developed for ultrawideband sensing. A wide impedance bandwidth of around 115% at bandwidth 3.73-14 GHz is achieved which shows that the proposed antenna exhibits a fairly sensitive sensor for microwave medical imaging applications. The sensor and instrumentation is used together with an improved version of delay and sum image reconstruction algorithm on both fatty and glandular breast phantoms. The relatively new imaging set-up provides robust reconstruction of complex permittivity profiles especially in glandular phantoms, producing results that are well matched to the geometries and composition of the tissues. Respectively, the signal-to-clutter and the signal-to-mean ratios of the improved method are consistently higher than 5 dB and 10 dB, corresponding to an average increase in image fidelity of more than 140% compared to conventional radar focusing technique.

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Section: Homogeneous and Heterogeneous Phantomsmentioning

confidence: 99%

Radar Sensing Featuring Biconical Antenna and Enhanced Delay and Sum Algorithm for Early Stage Breast Cancer Detection

Tiang¹,

Sadoon²,

Zanoon³

et al. 2013

PIER B

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“…This topic is of an increasing interest because of the important role of laser beams in a wide range of modern technological applications, such as electromagnetic transmissions [4] in optical systems and in the atmosphere [5], satellite communication [6], medical diagnostics [7][8][9][10], and diagnostic techniques of turbulence [11] in heated turbulent media and in combustion chambers.…”

Section: Introductionmentioning

confidence: 99%

Correlations of Deflection Angles of a Laser Beam in a Hot Turbulent Jet of Air: Theoretical Determination and Experimental Measurement of the Structure Coefficient of Refractive Index Fluctuations

Bilong¹,

Nyobe²,

Hona³

et al. 2012

PIER B

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Abstract-Using the geometrical optics approximation, a theoretical prediction of the deflection angle correlation of a laser beam propagating in a hot turbulent jet is found as a functional form of the turbulent spectrum of the refractive index fluctuations. By applying the modified Von Karman model and Tatarskii model, the structure coefficient of the refractive index and the deflection angle correlation of the laser beam are then computed by means of a numerical procedure. Experiments to measure the structure coefficient are performed. A good agreement between the experimental results obtained and the theoretical predictions demonstrates the validity of the theoretical approach.

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“…There have been many studies on radar target recognition [1][2][3][4][5][6][7][8][9] and detection [10][11][12][13][14][15][16][17][18][19][20][21][22][23]. In natural frequency-based radar signal processing, accurate estimation of natural frequency is quite important [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Recursive Implementation of Natural Frequency-Based Radar Detection Using the LRT Scheme

Lee¹,

Jeong²

2013

PIER

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Abstract-We address the performance analysis of the natural frequency-based radar target detection in this paper. We show how to calculate the detection performance recursively by making a polynomial approximation of the probability density function (PDF) of the standard normal distribution. Why we make a polynomial approximation of the PDF of the standard normal distribution is that the PDF of the standard normal distribution is not analytically integrable but that the polynomial is definitely analytically integrable, which makes it possible to calculate the detection performance without look-up table. The Taylor polynomial is used for an approximation of the PDF of the standard normal distribution. We derive the error of the approximation, the bound of the error of approximation, and the optimal polynomial approximation in the sense that the bound of the error of the approximation is minimized. We validate the derived expressions via numerical simulation.

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Numerical Modelling for Ultra Wideband Radar Breast Cancer Detection and Classification

Cited by 20 publications

References 47 publications

Radar Sensing Featuring Biconical Antenna and Enhanced Delay and Sum Algorithm for Early Stage Breast Cancer Detection

Radar Sensing Featuring Biconical Antenna and Enhanced Delay and Sum Algorithm for Early Stage Breast Cancer Detection

Correlations of Deflection Angles of a Laser Beam in a Hot Turbulent Jet of Air: Theoretical Determination and Experimental Measurement of the Structure Coefficient of Refractive Index Fluctuations

Recursive Implementation of Natural Frequency-Based Radar Detection Using the LRT Scheme

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