A low-cost, fast, and accurate microwave imaging system for breast cancer detection

Pagliari, Daniele Jahier; Pulimeno, Azzurra; Vacca, Marco; Vasquez, J. A. Tobon; Vipiana, F.; Casu, Mario R.; Solimene, Raffaele; Carloni, Luca P.

doi:10.1109/biocas.2015.7348444

Cited by 25 publications

(26 citation statements)

References 12 publications

(10 reference statements)

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“…A 12 mm diameter metallic cylinder was intended to mimic a tumour (see Figure 12). Figure 13 shows that the experimental results demonstrating the successful detection of a tumour having a size of 12 mm in diameter [69]. Jeon et al introduced a clinical trial prototype MT system for detecting breast tumours in [70].…”

Section: Microwave Tomographic Imagingmentioning

confidence: 97%

“…Pagliari et al [69] developed the first prototype for a tomography MI system based on low-cost off-the-shelf microwave components, custom-made antennas, and a small form-factor processing system with an embedded field-programmable gate array (FPGA) for accelerating the execution of the imaging algorithm (see Figure 10). This prototype system was fast, accurate, and relatively low in price mainly because it was configured by an FPGA that was capable of executing the imaging algorithm 20 times faster than a multi-core CPU.…”

Section: Microwave Tomographic Imagingmentioning

confidence: 99%

“…This prototype system was fast, accurate, and relatively low in price mainly because it was configured by an FPGA that was capable of executing the imaging algorithm 20 times faster than a multi-core CPU. Furthermore, this prototype system [69] was capable of detecting a tumour with an accuracy similar to the one that could be achieved using expensive equipment such as a vector network analyser (VNA). For image construction, a linear inversion method (I-MUSIC) was used instead of a non-linear inversion algorithm.…”

Section: Microwave Tomographic Imagingmentioning

confidence: 99%

“…Photograph of the circuit used in the system developed by Pagliari et al[69]. Reprinted with permission from[69]. LNA, low noise amplifier.…”

mentioning

confidence: 99%

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Review of Microwaves Techniques for Breast Cancer Detection

Aldhaeebi

Alzoubi

Almoneef

et al. 2020

Sensors

137

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Conventional breast cancer detection techniques including X-ray mammography, magnetic resonance imaging, and ultrasound scanning suffer from shortcomings such as excessive cost, harmful radiation, and inconveniences to the patients. These challenges motivated researchers to investigate alternative methods including the use of microwaves. This article focuses on reviewing the background of microwave techniques for breast tumour detection. In particular, this study reviews the recent advancements in active microwave imaging, namely microwave tomography and radar-based techniques. The main objective of this paper is to provide researchers and physicians with an overview of the principles, techniques, and fundamental challenges associated with microwave imaging for breast cancer detection. Furthermore, this study aims to shed light on the fact that until today, there are very few commercially available and cost-effective microwave-based systems for breast cancer imaging or detection. This conclusion is not intended to imply the inefficacy of microwaves for breast cancer detection, but rather to encourage a healthy debate on why a commercially available system has yet to be made available despite almost 30 years of intensive research.

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Section: Microwave Tomographic Imagingmentioning

confidence: 97%

Section: Microwave Tomographic Imagingmentioning

confidence: 99%

Section: Microwave Tomographic Imagingmentioning

confidence: 99%

“…Photograph of the circuit used in the system developed by Pagliari et al[69]. Reprinted with permission from[69]. LNA, low noise amplifier.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Review of Microwaves Techniques for Breast Cancer Detection

Aldhaeebi

Alzoubi

Almoneef

et al. 2020

Sensors

137

View full text Add to dashboard Cite

show abstract

“…In that sense, some techniques based on microwave signals using image reconstruction algorithms have been investigated [8][9][10][11]. Compared to X-rays, microwave imaging can be safely repeated more frequently because it is free from ionizing radiation [12].…”

Section: Introductionmentioning

confidence: 99%

An Overview of Uwb Antennas for Microwave Imaging Systems for Cancer Detection Purposes

Borja¹,

Tirado‐Méndez²,

Jardon-Aguilar³

2018

PIER B

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Abstract-In the last decades, microwave imaging has been a new area of research due to its many advantages over current imaging systems. Microwave imaging system is used for in-depth inspection of biological tissues. The test provides the identification of morphological changes in these biological tissues, as well as their locations. The emerging Ultra-Wideband (UWB) microwave imaging gives better result with the main advantage of using non-ionizing radiation. In these systems, antennas play a very important role, and as such, their optimization has become a very important topic because the device is placed close to the human body. Thus, many aspects are of great importance in the design of the antennas starting from the material with which it is constructed, its dimensions, operation bandwidth, human body influence on the antenna parameters, short-pulse propagation, etc. Recent research has shown several efforts in improving the electromagnetic sensors used in these systems, either as individual or array elements. In this paper, we provide an overview of the most relevant developments in the field of UWB high directivity sensors used in microwave imaging systems.

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An encoder–decoder and modified U‐Net network for microwave imaging of stroke

Liu,

Chen,

Xiong

2023

Int J Imaging Syst Tech

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Microwave imaging has been widely used in stroke diagnosis as a non‐invasive, ionizing radiation‐free imaging method. However, the electromagnetic inverse scattering problems of microwave imaging are nonlinear and ill‐posed. To further improve the accuracy of microwave imaging algorithms to identify and reconstruct stroke regions. A novel Encoder‐Decoder and Modified U‐Net (ED‐MUNET) network for microwave imaging of stroke is proposed. The newly proposed ED‐MUNET method accomplishes the initial imaging from scattered data to stroke images through an encoder–decoder in the first step. In the second step, the feature information of the reconstructed image is extracted through the modified U‐Net network, and the reconstruction from the rough stroke image to the high‐resolution image is realized. The second step avoids black‐box operations and improves image accuracy. ED‐MUNET has fewer artifacts, the relative reconstruction error is less than 0.05, and the reconstructed images are clearer, according to the comparative experiments with other networks. The experimental results showed the superiority of the proposed method for reconstructing stroke images.

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A low-cost, fast, and accurate microwave imaging system for breast cancer detection

Cited by 25 publications

References 12 publications

Review of Microwaves Techniques for Breast Cancer Detection

Review of Microwaves Techniques for Breast Cancer Detection

An Overview of Uwb Antennas for Microwave Imaging Systems for Cancer Detection Purposes

An encoder–decoder and modified U‐Net network for microwave imaging of stroke

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