High-resolution imaging of dielectric profiles by using a time-domain ultra wideband radar sensor

Abdullah, Mohd Zaid; Binajjaj, S.; Zanoon, Tareq F A; Peyton, A. J.

doi:10.1016/j.measurement.2011.02.001

Cited by 11 publications

(16 citation statements)

References 21 publications

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“…The consequences of the linearized solutions is that these approaches can only produce qualitative images rather than quantitative, while it is limited to cases of weak scatterers [13]. However, in certain applications, retrieving the shape and location of the scatterer is sufficient information, as the values of the objects or background dielectric parameters are unnecessary or obvious [11] as in the case of crack detection for example.…”

Section: Linear and Non-linear Approachesmentioning

confidence: 99%

“…Recently, the numerical and experimental feasibility of the high-resolution phenomenon of UWB time domain inverse scattering were demonstrated using limited-view transmission mode experimental measurements [13]. Image reconstruction was obtained utilizing both Born approximation and the adjoint state gradient iterative method.…”

Section: Time Domain Uwb Tomographymentioning

confidence: 99%

“…For m=1,2,..,M transmitter locations, the cost function of all projections is: 2 Using the adjoint method, the gradient of the cost function F with respect to permittivity is given as [13,31]:…”

Section: Uwb Applications: Breast Cancer Detectionmentioning

confidence: 99%

“…A homogenous data set was obtained in order to perform necessary calibration and correction. The data correction procedure resembles that described in [13]. Fig.…”

Section: Uwb Applications: Breast Cancer Detectionmentioning

confidence: 99%

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Microwave imaging at resolution and super-resolution with ultra-wide band sensors

Zanoon

Hathal

Abdullah

2012

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings

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Intensive research has been carried in microwave tomography techniques towards non-invasive imaging targeting several civil and military applications. The interest in using microwave frequencies for imaging arises from the superresolution capability, and low operating cost. In the medical field, non-ionizing properties and patient convenience are major advantages. However, the realization of this imaging technique faces several challenges, mainly related to sophisticated mathematical inversion techniques and experimental data acquisition systems although its foundations were laid out more than three decades ago, given the difficulty in obtaining accurate and effective dielectric reconstructions. This paper provides an insight on microwave imaging, focusing on techniques and procedures in realizing the super-resolution accuracy.

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Section: Linear and Non-linear Approachesmentioning

confidence: 99%

Section: Time Domain Uwb Tomographymentioning

confidence: 99%

Section: Uwb Applications: Breast Cancer Detectionmentioning

confidence: 99%

“…A homogenous data set was obtained in order to perform necessary calibration and correction. The data correction procedure resembles that described in [13]. Fig.…”

Section: Uwb Applications: Breast Cancer Detectionmentioning

confidence: 99%

See 2 more Smart Citations

Microwave imaging at resolution and super-resolution with ultra-wide band sensors

Zanoon

Hathal

Abdullah

2012

2012 IEEE International Conference on Imaging Systems and Techniques Proceedings

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“…Mathematical morphology can be used to improve the detection results [25][26][27][28][29]. Our method can also be used for other multimedia applications [30][31][32][33][34][35][36][37][38][39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Semi-fragile watermarking for image authentication with sensitive tamper localization in the wavelet domain

Preda

2013

Measurement

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A novel textile-based UWB patch antenna for breast cancer imaging

abdulla,

Demirkol

2024

Phys Eng Sci Med

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Breast cancer is the second leading cause of death for women worldwide, and detecting cancer at an early stage increases the survival rate by 97%. In this study, a novel textile-based ultrawideband (UWB) microstrip patch antenna was designed and modeled to work in the 2–11.6 GHz frequency range and a simulation was used to test its performance in early breast cancer detection. The antenna was designed with an overall size of 31*31 mm $$^2$$ 2 using a denim substrate and 100% metal polyamide-based fabric with copper, silver, and nickel to provide comfort for the wearer. The designed antenna was tested in four numerical breast models. The models ranged from simple tumor-free to complex models with small tumors. The size, structure, and position of the tumor were modified to test the suggested ability of the antenna to detect cancers with different shapes, sizes, and positions. The specific absorption rate (SAR), return loss (S11), and voltage standing wave ratio (VSWR) were calculated for each model to measure the antenna performance. The simulation results showed that SAR values were between 1.6 and 2 W/g (10 g SAR) and were within the allowed range for medical applications. Additionally, the VSWR remained in an acceptable range from 1.15 to 2. Depending on the size and location of the tumor, the antenna return losses of the four models ranged from $$-$$ - 36 to $$-$$ - 18.5 dB. The effect of bending was tested to determine the flexibility. The antenna proved to be highly effective and capable of detecting small tumors with diameters of up to 2 mm.

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High-resolution imaging of dielectric profiles by using a time-domain ultra wideband radar sensor

Cited by 11 publications

References 21 publications

Microwave imaging at resolution and super-resolution with ultra-wide band sensors

Microwave imaging at resolution and super-resolution with ultra-wide band sensors

Semi-fragile watermarking for image authentication with sensitive tamper localization in the wavelet domain

A novel textile-based UWB patch antenna for breast cancer imaging

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