Comparing Radar-Based Breast Imaging Algorithm Performance with Realistic Patient-Specific Permittivity Estimation

O’Loughlin, Declan; Oliveira, Bárbara Luz; Glavin, Martin; Jones, Edward; O’Halloran, Martin

doi:10.3390/jimaging5110087

Cited by 10 publications

(6 citation statements)

References 54 publications

(102 reference statements)

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“…The above-mentioned comparison studies were carried out without considering the inter-patient variations in breast dielectric properties. Hence, in 2019 O'Loughlin et al tried to assess the impact of patient-specific permittivity estimation on beamformer comparison and found that DMAS can "improve" both healthy and abnormal images [135].…”

Section: Focusing Algorithmsmentioning

confidence: 99%

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An Overview of Microwave Imaging for Breast Tumor Detection

Benny¹,

Anjit²,

Mythili³

2020

PIER B

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Microwave imaging (MWI) is a non-ionizing, non-invasive and an upcoming affordable medical imaging modality. Over the last few decades, MWI has invited active research towards biomedical imaging, with special focus on breast tumor detection. After long years of intense research and clinical trials, a breast tumour monitoring unit based on MWI is finally entering clinical imaging scenarios. In this manuscript, the vast literature in MWI to date has been consolidated, and an indetail study of the state-of-the-art for breast tumor detection has been presented. The hurdles faced during clinical trials are discussed, and their possible solutions and future directions for a fast transition into clinical imaging have been presented. It is hoped that this paper can serve as a guide for MWI researchers and practitioners, especially those new to the field to comprehend the potential of MWI as a viable imaging tool for breast imaging.

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Section: Focusing Algorithmsmentioning

confidence: 99%

“…From the results reported by various research teams who compared the various focusing algorithms in radar imaging, DMAS is noted to have the most balanced performance and may be suggested as a suitable choice for future research efforts in this domain [132][133][134][135].…”

Section: Focusing Algorithmsmentioning

confidence: 99%

An Overview of Microwave Imaging for Breast Tumor Detection

Benny¹,

Anjit²,

Mythili³

2020

PIER B

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“…Let us assume B as all the points within the breast area and T as all the points located inside the target region. The following most commonly used metrics are investigated [9, 42]: The metric Δ: which is defined as the absolute distance between the real center of the tumor, T c and the predicted location of the tumor, which is estimated by the maximum energy on the reconstructed image I as following: …”

Section: Resultsmentioning

confidence: 99%

A novel approach of high-resolution UWB microwave imaging system based on an improved 3D back-projection method for early-stage breast cancer detection applications

Mehranpour

Jarchi

Ghorbani

et al. 2020

Int. J. Microw. Wireless Technol.

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In this paper, a novel approach of high-accuracy calibration (HAC) method is employed to improve the resolution of tumor detection within a fibro-glandular breast model, and also an improved 3D back-projection approach to scan each focal point inside of the breast is presented. For these purposes, a simulated hemispherical setup of a multi-static array with a modified UWB bowtie antenna is applied around the breast. The superiority of the proposed HAC method is that all-time delays of multi-static channel paths are taken into account at preprocessing of reflected signals, and therefore the time location of tumor response can be estimated accurately in the late stage of recorded signals. As a result, stronger signals are obtained to detect the location of the tumor with higher spatial accuracy. By using the improved 3D back-projection method, a better approximation of transmission channel paths based on Fermat's principle is achieved. A realistic breast model is proposed with two cases of single and twin spherical tumors. Then, to validate the efficiency of the proposed HAC method to detect the time-dependent tumor location, several scenarios are studied in the mentioned model. Quantitative metrics of successfully reconstructed tumor (with a small radius of 7 mm) images prove the ability of the proposed imaging method for early-stage breast cancer detection.

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“…UWB microwave radar-based imaging technique (known as beamformers) rebuilds the image using the reflected wave from objects [82]. The radar system uses a UWB pulse from a transmit (TX) antenna to illuminate the breast, and the resulting reflections that are created at dielectrically differing tissue boundaries are collected by the receive (RX) components [83,84].…”

Section: Radar-based Techniquementioning

confidence: 99%

Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review

et al. 2021

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Breast cancer is the most leading cancer occurring in women and is a significant factor in female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments for breast cancer detection can lead to a proper treatment to affected patients as early as possible that eventually help reduce the women mortality rate. Reliability issues limit the current clinical detection techniques, such as Ultra-Sound, Mammography, and Magnetic Resonance Imaging (MRI) from screening images for precise elucidation. The capability to detect a tumor in early diagnosis, expensive, relatively long waiting time due to pandemic and painful procedure for a patient to perform. This article aims to review breast cancer screening methods and recent technological advancements systematically. In addition, this paper intends to explore the progression and challenges of AI in breast cancer detection. The next state of the art between image and signal processing will be presented, and their performance is compared. This review will facilitate the researcher to insight the view of breast cancer detection technologies advancement and its challenges.

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Comparing Radar-Based Breast Imaging Algorithm Performance with Realistic Patient-Specific Permittivity Estimation

Cited by 10 publications

References 54 publications

An Overview of Microwave Imaging for Breast Tumor Detection

An Overview of Microwave Imaging for Breast Tumor Detection

A novel approach of high-resolution UWB microwave imaging system based on an improved 3D back-projection method for early-stage breast cancer detection applications

Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review

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