A Novel Ultra-Compact Broadband Antenna for Microwave Breast Tumor Detection

Kanj, H.; Popović, Milica

doi:10.2528/pier08090701

Cited by 56 publications

(45 citation statements)

References 16 publications

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“…As stated in Section 2.3, the test data set is made up of signals recorded from 30 new breast scans. Due to the large antenna beamwidth [22], the low attenuation in the homogeneous phantoms, and the multi-path reflections that waves undergo while travelling through the radome, phantom, and back through the radome again, we expect the presence of a tumor (if there is one) to be identifiable above the noise level in signals from all 240 transmit-receive antenna pairs. Thus, we assume here that correct classification implies that each individual signal recorded from healthy and tumor phantoms, respectively, should be classified as such.…”

Section: Resultsmentioning

confidence: 99%

“…The array is composed of 16 ultrawideband elements; the antennas were specifically designed for biological sensing applications and are meant to operate in a region with dielectric properties similar to those of breast tissues. Description and characteristics of the Travelling-Wave Tapered and Loaded Transmission-Line Antennas (TWTLTLA) can be found in [22]. The breast phantom under test is positioned inside of the bowlshaped radome, and in this series of experiments, fills the radome completely.…”

Section: System Set-upmentioning

confidence: 99%

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Investigation of Classifiers for Tumor Detection With an Experimental Time-Domain Breast Screening System

Santorelli¹,

Porter²,

Kirshin³

et al. 2014

PIER

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Abstract-In this work we examine, for the first time, the use of classification algorithms for earlystage tumor detection with an experimental time-domain microwave breast screening system. The experimental system contains a 16-element antenna array, and testing is done on breast phantoms that mimic breast tissue dielectric properties. We obtain experimental data from multiple breast phantoms with two possible tumor locations. In this work, we investigate a method for detecting the tumors within the breast but without the usual complexity inherent to image-generation methods, and confirm its feasibility on experimental data. The proposed method uses machine learning techniques, namely Support Vector Machines (SVM) and Linear Discriminant Analysis (LDA), to determine whether the current breast being scanned is tumor-free. Our results show that both SVM and LDA methods have promise as algorithms supporting early breast cancer microwave screening.

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Section: Resultsmentioning

confidence: 99%

Section: System Set-upmentioning

confidence: 99%

Investigation of Classifiers for Tumor Detection With an Experimental Time-Domain Breast Screening System

Santorelli¹,

Porter²,

Kirshin³

et al. 2014

PIER

Self Cite

View full text Add to dashboard Cite

show abstract

“…The antennas are wideband, and are designed specifically for use in bio-sensing applications [16]. The Travelling Wave Tapered and Loaded Transmission Line Antennas (TWTLTLAs) are embedded in a dielectric radome that performs two tasks: a) provides improved matching between the antenna and the breast tissues, and b) securely and precisely holds the antennas in position.…”

Section: Measurement Systemmentioning

confidence: 99%

Time-Domain Microwave Radar Applied to Breast Imaging: Measurement Reliability in a Clinical Setting

Porter¹,

Santorelli²,

Popović³

2014

PIER

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Abstract-This work presents an evaluation of the measurement challenges in clinical testing of our microwave breast cancer screening system. The time-domain radar system contains a multistatic 16-antenna hemi-spherical array operating in the 2-4 GHz frequency range. We investigate, for the first time with such a system in clinical trials, the repeatability of measurements and its effect on image reconstruction. We record vertical and horizontal measurement uncertainties under different scenarios and verify using previously introduced compensation methods that they can be successfully reduced to an acceptable level from the standpoint of image reconstruction. We also examine how placement of an immersion medium can affect collected breast scan data. Finally, we probe the repeatability and consistency of measurements with patients. With the goal of confirming the feasibility of frequent breast health monitoring, with our system, we obtain a total of 342 breast scans collected over 57 patient visits to determine how much scan data varies when there are no changes in between scans, and how much it varies when the patient is repositioned in the system. We confirm that, by taking care in patient positioning in the system and with respect to the immersion medium, the measurement repeatability is high.

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“…The antenna used in this experimental system is a Traveling Wave Tapered and Loaded Transmission Line Antenna (TWTLTLA) [15], specifically designed for microwave imaging of the breast. It is a compact, 0.635×12×18 mm 3 , wideband antenna that has been tailored for optimum performance when placed in a medium with dielectric properties similar to that of adipose breast tissue (ε r ≈ 9).…”

Section: Initial System Descriptionmentioning

confidence: 99%

Experimental Demonstration of Pulse Shaping for Time-Domain Microwave Breast Imaging

Santorelli¹,

Chudzik²,

Kirshin³

et al. 2013

PIER

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Abstract-We experimentally demonstrate a low-cost hardware technique for synthesizing a specific electromagnetic pulse shape to improve a time-domain microwave breast imaging system. A synthesized broadband reflector (SBR) filter structure is used to reshape a generic impulse to create an ad-hoc pulse with a specifically chosen frequency spectrum that improves the detection and imaging capabilities of our experimental system. The tailored pulse shape benefits the system by improving the level of signal detection after transmission through the breast and thus permits higher-resolution images. We report on our ability to use this technique to detect the presence of tumours in realistic breast phantoms composed of varying quantities of glandular tissue. Additionally, we provide a set of images based on this experimental data that demonstrates the increased effectiveness of the system using the SBR-shaped pulse in the localisation and identification of the embedded tumour.

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A Novel Ultra-Compact Broadband Antenna for Microwave Breast Tumor Detection

Cited by 56 publications

References 16 publications

Investigation of Classifiers for Tumor Detection With an Experimental Time-Domain Breast Screening System

Investigation of Classifiers for Tumor Detection With an Experimental Time-Domain Breast Screening System

Time-Domain Microwave Radar Applied to Breast Imaging: Measurement Reliability in a Clinical Setting

Experimental Demonstration of Pulse Shaping for Time-Domain Microwave Breast Imaging

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