Discrete Dipole Approximation-Based Microwave Tomography for Fast Breast Cancer Imaging

Hosseinzadegan, Samar; Fhager, Andreas; Geimer, Shireen D.; Meaney, Paul M.

doi:10.1109/tmtt.2021.3060597

Cited by 21 publications

(17 citation statements)

References 61 publications

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“…full reconstructions in 6 seconds or less. This technique is described in detail in Hosseinzadegan et al [59,60].…”

Section: Softwarementioning

confidence: 99%

“…However, these previous works are dedicated to developing OAM waves using uniform circular antenna array (UCAA), spiral phase plates, and OAM multiplexing using UCCA. Minimal efforts have been invested in research to generate an OAM beam using a single patch antenna [60][61][62], which is set to relieve from complex feed network and space utilization. In this work, single patch-based plane wave patch antenna (PWPA) and OAM wave patch antenna (OWPA) are deployed as a demonstrator model to compare key performance parameters of PWPA and OWPA.…”

Section: Introductionmentioning

confidence: 99%

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Recent Microwave Technologies

2022

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“…full reconstructions in 6 seconds or less. This technique is described in detail in Hosseinzadegan et al [59,60].…”

Section: Softwarementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Recent Microwave Technologies

2022

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“…Radar approaches focus reflections in order to indicate locations where differences in properties occur, which may enable tumor detection 6–8 . Tomography reconstructs a map of the properties, iteratively updating properties of a simulated model such that the resulting signals match measurements 9 . Tumors are identified by localized property increases.…”

Section: Introductionmentioning

confidence: 99%

Microwave imaging for monitoring breast cancer treatment: A pilot study

Smith,

Bourqui,

Wang

et al. 2023

Medical Physics

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BackgroundMicrowave imaging has been proposed for medical applications, creating maps related to water content of tissues. Breast imaging has emerged as a key application because the signals can be coupled directly into the breast and experience limited attenuation in fatty tissues. While the literature contains reports of tumor detection with microwave approaches, there is limited exploration of treatment monitoring.PurposeThis study aims to detect treatment‐related changes in breast tissue with a low‐resolution microwave scanner.MethodsMicrowave scans of 15 patients undergoing treatment for early‐stage breast cancer are collected at up to 4 time points: after surgery (baseline), 6 weeks after accelerated partial breast radiation, as well as 1 and 2 years post‐treatment. Both the treated and untreated breast are scanned at each time point. The microwave scanner consists of planar transmit and receive arrays and uses signals from 0.1 to 10 GHz. The average microwave frequency properties (permittivity) are calculated for each scan to enable quantitative comparison. Baseline and 6‐week results are analyzed with a two‐way ANOVA with blocking.ResultsConsistent properties are observed for the untreated breast over time, similar to a previous study. Comparison of the scans of the treated and untreated breast suggests increased properties related to treatment, particularly at baseline and 6‐weeks following radiotherapy. Analysis of the average properties of the scans with ANOVA indicates statistically significant differences () in the treated and untreated breast at these time points.ConclusionsMicrowave imaging has the potential to track treatment‐related changes in breast tissues.

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“…Moreover, a microwave imaging system can highlight additional details about the part of interest of the human body, which can be merged with the information obtained by the standard techniques. The use of microwave imaging is nowadays consolidated in some medical applications, like breast cancer [2]- [6] and brain stroke detection [7]- [10], although the application to other body parts is increasing, such as arms [11], torso [12], and neck [13], [14]. In addition to the neck imaging, the last medical application is focused on the microwave hyperthermia of neck tumors [15]- [17].…”

Section: Introductionmentioning

confidence: 99%

Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection

Dachena

Fedeli²,

Fanti

et al. 2021

IEEE Open J. Antennas Propag.

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In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumor detection is presented. The aim of this technique is to retrieve the geometric and dielectric properties of the neck to identify the possible presence of tumors, starting from scattered electric field data. A fully-connected neural network is developed to test the feasibility of the proposed approach. Moreover, a numerical model including the main features of a cross section of the neck is specifically designed in order to create a suitable training dataset. Subsequently, for the optimization of the ANN architecture and performance evaluation, a numerical analysis is conducted. A set of simulated cases, based on realistic neck phantoms, is tested to evaluate the robustness of the network. Preliminary results show the possibility to identify and locate neck tumors.

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Discrete Dipole Approximation-Based Microwave Tomography for Fast Breast Cancer Imaging

Cited by 21 publications

References 61 publications

Recent Microwave Technologies

Recent Microwave Technologies

Microwave imaging for monitoring breast cancer treatment: A pilot study

Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection

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