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

Santorelli, Adam; Chudzik, M.; Kirshin, Evgeny; Porter, Emily; Lujambio, A.; Arnedo, I.; Popović, Milica; Schwartz, Joshua D.

doi:10.2528/pier12091008

Cited by 30 publications

(24 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Now, instead, we select the most relevant antenna clusters to apply our classification to. As was shown in our previous work [10,23], transmit-receive antenna pairs that are located on the same side of the radome tend to better pick up the scattered tumor response. Thus, these clusters of antennas can be used for more reliable detection, particularly when the phantom is heterogeneous (when attenuation is higher, and tumor responses from far away transmit-receive antenna pairs may be lost below the noise level).…”

Section: Resultsmentioning

confidence: 67%

“…An impulse generator is triggered by a clock operating at 25 MHz; this pulse is then shaped using a Synthesized Broadband Reflector (SBR, as in [23]) such that its frequency content is concentrated from 2-4 GHz. The pulse is then amplified (+35 dB gain), passes through an automated 16 × 2 switching matrix that selects each transmitting antenna in turn, and propagates into the breast.…”

Section: System Set-upmentioning

confidence: 99%

See 1 more Smart Citation

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

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.

show abstract

Section: Resultsmentioning

confidence: 67%

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

“…8) This technique permitted multiple gland models, and, allowed multiple tumors to be placed within the glands. [42] demonstrated an advanced time domain experimental system for microwave breast cancer detection using Synthesized Broadband Reflector SBR structure for pulse shaping. They used breast phantoms developed in [41] for experimentation purpose.…”

Section: Type Of Phantommentioning

confidence: 99%

“…The same should be taken into account to develop a realistic phantom. Design and development of a breast phantom, as used in the researches in [35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50], includes the following common methodology: a) Selection of materials and making their mixture to imitate a real breast. b) Measurements of the dielectric properties (of the mixture obtained in step a), i.e.…”

Section: Research Review Of Breast Phantomsmentioning

confidence: 99%

A Comprehensive Review on Design and Development of Human Breast Phantoms for Ultra-Wide Band Breast Cancer Imaging Systems

Khuda¹

2017

View full text Add to dashboard Cite

Abstract. Microwave ultra-wide band UWB imaging system is a contemporary biomedical imaging technology for early detection of breast cancers. This imaging system requires the development of breast phantoms for experimental data analysis. In order to obtain realistic results, it is very important that these phantoms mimic the characteristics of real biological breast tissue as close as possible. For this purpose, scientists and engineers make use of the dielectric properties of human breast. This paper takes a survey of mathematical formulations used to determine biological dielectric properties and then takes a review of current breast phantoms being used in UWB imaging systems with reference to the analytical dielectric measurements.At present, breast phantoms are made, both, manually in laboratory utilizing different chemicals and also by using computational electromagnetic algorithms to introduce better heterogeneity in them. They can then easily be tested by doing computer simulations. In this review paper, emphasis is made on the phantoms which are made in laboratory for doing hardware experimentations.

show abstract

“…A short-duration pulse is produced by a generator (Picosecond Pulse Labs, Model 3600, 7.5 V, 70 ps full-width at half-maximum width) on every clock signal (Tektronix gigaBERT 1400, running at 1 MHz). A pulse-shaping circuit, made up of a passive Synthesized Broadband Reflector (SBR), a directional coupler, and an amplifier (MiniCircuits ZVE-3W-83+, +35 dB typical gain, 2-8 GHz), reshapes the generic pulse such that its spectrum is focused in the 2-4 GHz range [15]. This frequency range is chosen as a trade-off between the highresolution yet high attenuation at upper frequencies and the low attenuation with low resolution at lower frequencies.…”

Section: Measurement Systemmentioning

confidence: 99%

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

Porter¹,

Santorelli²,

Popović³

2014

PIER

Self Cite

View full text Add to dashboard Cite

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.

show abstract

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

Cited by 30 publications

References 14 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

A Comprehensive Review on Design and Development of Human Breast Phantoms for Ultra-Wide Band Breast Cancer Imaging Systems

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

Contact Info

Product

Resources

About